Face Generation

In this project, you'll use generative adversarial networks to generate new images of faces.

Get the Data

You'll be using two datasets in this project:

  • MNIST
  • CelebA

Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.

If you're using FloydHub, set data_dir to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".

In [1]:
# data_dir = '/input'
data_dir = './data'

# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'


"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper

helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
Found mnist Data
Found celeba Data

Explore the Data

MNIST

As you're aware, the MNIST dataset contains images of handwritten digits. You can view the first number of examples by changing show_n_images.

In [13]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot

mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
Out[13]:
<matplotlib.image.AxesImage at 0x7fac88ab7048>

CelebA

The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images.

In [3]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Out[3]:
<matplotlib.image.AxesImage at 0x7fe9e0440048>

Preprocess the Data

Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

The MNIST images are black and white images with a single color channel while the CelebA images have 3 color channels (RGB color channel).

Build the Neural Network

You'll build the components necessary to build a GANs by implementing the following functions below:

  • model_inputs
  • discriminator
  • generator
  • model_loss
  • model_opt
  • train

Check the Version of TensorFlow and Access to GPU

This will check to make sure you have the correct version of TensorFlow and access to a GPU

In [14]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf

# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer.  You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))

# Check for a GPU
if not tf.test.gpu_device_name():
    warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
    print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.0.0
Default GPU Device: /gpu:0

Input

Implement the model_inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders:

  • Real input images placeholder with rank 4 using image_width, image_height, and image_channels.
  • Z input placeholder with rank 2 using z_dim.
  • Learning rate placeholder with rank 0.

Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)

In [15]:
import problem_unittests as tests

def model_inputs(image_width, image_height, image_channels, z_dim):
    """
    Create the model inputs
    :param image_width: The input image width
    :param image_height: The input image height
    :param image_channels: The number of image channels
    :param z_dim: The dimension of Z
    :return: Tuple of (tensor of real input images, tensor of z data, learning rate)
    """
    # TODO: Implement Function
    inputs_real = tf.placeholder(tf.float32, [None, image_width, image_height, image_channels], name='input_real')
    inputs_z = tf.placeholder(tf.float32, [None, z_dim], name='input_z')
    learning_rate = tf.placeholder(tf.float32, name='learning_rate')
    
    return inputs_real, inputs_z, learning_rate


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Tests Passed

Discriminator

Implement discriminator to create a discriminator neural network that discriminates on images. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).

In [16]:
# def lrelu(x, alpha = 0.2, name='lrelu'):
    #with tf.variable_scope(name):
    # f1 = 0.5*(1+alpha)
    # f2 = 0.5*(1-alpha)
    # return f1*x + f2*abs(x)
def lrelu(x, alpha = 0.2, name='lrelu'):
    return tf.maximum(x, alpha*x, name=name)
    
def discriminator(images, reuse=False):
    """
    Create the discriminator network
    :param images: Tensor of input image(s)
    :param reuse: Boolean if the weights should be reused
    :return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
    """
    rate = 0.1
    # TODO: Implement Function
    with tf.variable_scope('discriminator', reuse=reuse):
        # 28*28*3 -> 14*14*64
        x1 = tf.layers.conv2d(images, 64, 5, strides=2, padding='same', 
                              # kernel_initializer = tf.random_normal_initializer(stddev=0.02))
                              kernel_initializer = tf.contrib.layers.xavier_initializer())
        # x1 = tf.maximum(0.2*x1, x1)
        x1 = lrelu(x1)
        # add drop out layer 
        x1 = tf.layers.dropout(x1, rate) 
        
        # 14*14*64 -> 7*7*128
        x2 = tf.layers.conv2d(x1, 128, 5, strides =2 , padding='same',
                              kernel_initializer = tf.contrib.layers.xavier_initializer())
        x2 = tf.layers.batch_normalization(x2, training=True)
        # x2 = tf.maximum(0.2*x2, x2)
        x2 = lrelu(x2)
        x2 = tf.layers.dropout(x2, rate)
        
        # 7*7*128 -> 3*3*256
        x3 = tf.layers.conv2d(x2, 256, 5, strides=2, padding='same', 
                              kernel_initializer = tf.contrib.layers.xavier_initializer())
        x3 = tf.layers.batch_normalization(x3, training=True)
        # x3 = tf.maximum(0.2*x3, x3)
        x3 = lrelu(x3)
        x3 = tf.layers.dropout(x3, rate)
        
        # flatten 
        # s = x3.get_shape().as_list()
        # flat = tf.reshape(x3, (-1, s[1]*s[2]*s[3]))
        flat = tf.contrib.layers.flatten(x3)
        logits = tf.layers.dense(flat, 1)
        out = tf.sigmoid(logits)
    
    return out, logits


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Tests Passed

Generator

Implement generator to generate an image using z. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim images.

In [17]:
def generator(z, out_channel_dim, is_train=True):
    """
    Create the generator network
    :param z: Input z
    :param out_channel_dim: The number of channels in the output image
    :param is_train: Boolean if generator is being used for training
    :return: The tensor output of the generator
    """
    # TODO: Implement Function
    reuse = True
    if is_train == True:
        reuse = False
    rate = 0.1
    with tf.variable_scope('generator', reuse=reuse):
        # z_dim -> 7*7*256
        # x = tf.layers.dense(z, 7*7*256)
        # x = tf.reshape(x, (-1, 7, 7, 256))
        x = tf.layers.dense(z, 2*2*512)
        x = tf.reshape(x, (-1, 2, 2, 512))
        
        # 7*7*256 -> 14*14*128
        # x2 = tf.layers.conv2d_transpose(x, 128, 5, strides=2, padding='same', 
        #                                kernel_initializer = tf.contrib.layers.xavier_initializer())
        # 7 * 7 * 256
        x2 = tf.layers.conv2d_transpose(x, 256, 5, strides=2, padding='valid', 
                                       kernel_initializer = tf.contrib.layers.xavier_initializer())
        s = x2.get_shape().as_list()
        # print('x2.shape {}'.format(s))
        x2 = tf.layers.batch_normalization(x2, training=is_train)
        # x2 = tf.maximum(0.2*x2, x2)
        x2 = lrelu(x2)
        x2 = tf.layers.dropout(x2, rate, training=is_train)
        
        # 14*14*128 -> 28*28*64
        # x3 = tf.layers.conv2d_transpose(x2, 64, 5, strides=2, padding='same', 
        #                               kernel_initializer = tf.contrib.layers.xavier_initializer())
        # 14 * 14 * 128
        x3 = tf.layers.conv2d_transpose(x2, 128, 5, strides=2, padding='same',
                                       kernel_initializer = tf.contrib.layers.xavier_initializer())
        s = x3.get_shape().as_list()
        # print('x3.shape {}'.format(s))
        x3 = tf.layers.batch_normalization(x3, training=is_train)
        # x3 = tf.maximum(0.2*x3, x3)
        x3 = lrelu(x3)
        x3 = tf.layers.dropout(x3, rate, training=is_train)
        
        # 28*28*64 -> 28*28*3
        # logits = tf.layers.conv2d(x3, out_channel_dim, 5, strides=1, padding='same', 
        #                         kernel_initializer = tf.contrib.layers.xavier_initializer())
        # 28 * 28 * 3
        logits = tf.layers.conv2d_transpose(x3, out_channel_dim, 5, strides=2, padding='same', 
                                 kernel_initializer = tf.contrib.layers.xavier_initializer())
        s = logits.get_shape().as_list()
        # print('logits.shape {}'.format(s))
        out = tf.tanh(logits)
    
    return out


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Tests Passed

Loss

Implement model_loss to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:

  • discriminator(images, reuse=False)
  • generator(z, out_channel_dim, is_train=True)
In [18]:
import numpy as np
def model_loss(input_real, input_z, out_channel_dim):
    """
    Get the loss for the discriminator and generator
    :param input_real: Images from the real dataset
    :param input_z: Z input
    :param out_channel_dim: The number of channels in the output image
    :return: A tuple of (discriminator loss, generator loss)
    """
    # TODO: Implement Function
    
    g_model = generator(input_z, out_channel_dim)
    d_model_real, d_logits_real = discriminator(input_real)
    d_model_fake, d_logits_fake = discriminator(g_model, reuse = True)
    
    smooth = 0.1
    d_loss_real = tf.reduce_mean(
        # tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_model_real)*np.random.uniform(0.7, 1.2)))
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_model_real)*(1.-smooth)))

    d_loss_fake = tf.reduce_mean(
    #       tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)*np.random.uniform(0.0, 0.3)))
    # tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)*(1.-smooth)))
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))

    g_loss = tf.reduce_mean(
        # tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)*np.random.uniform(0.8, 1.0)))
    #    tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)*(1.-smooth)))
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)))

    d_loss = d_loss_real + d_loss_fake
    
    return d_loss, g_loss


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Tests Passed

Optimization

Implement model_opt to create the optimization operations for the GANs. Use tf.trainable_variables to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).

In [19]:
def model_opt(d_loss, g_loss, learning_rate, beta1):
    """
    Get optimization operations
    :param d_loss: Discriminator loss Tensor
    :param g_loss: Generator loss Tensor
    :param learning_rate: Learning Rate Placeholder
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :return: A tuple of (discriminator training operation, generator training operation)
    """
    # TODO: Implement Function
    vts = tf.trainable_variables()
    d_v = [v for v in vts if v.name.startswith('discriminator')]
    g_v = [v for v in vts if v.name.startswith('generator')]
    
    with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
        d_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(d_loss, var_list = d_v)
        g_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(g_loss, var_list = g_v)
    
    return d_train_opt, g_train_opt


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
Tests Passed

Neural Network Training

Show Output

Use this function to show the current output of the generator during training. It will help you determine how well the GANs is training.

In [20]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np

def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
    """
    Show example output for the generator
    :param sess: TensorFlow session
    :param n_images: Number of Images to display
    :param input_z: Input Z Tensor
    :param out_channel_dim: The number of channels in the output image
    :param image_mode: The mode to use for images ("RGB" or "L")
    """
    cmap = None if image_mode == 'RGB' else 'gray'
    z_dim = input_z.get_shape().as_list()[-1]
    example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])

    samples = sess.run(
        generator(input_z, out_channel_dim, False),
        feed_dict={input_z: example_z})

    images_grid = helper.images_square_grid(samples, image_mode)
    pyplot.imshow(images_grid, cmap=cmap)
    pyplot.show()

Train

Implement train to build and train the GANs. Use the following functions you implemented:

  • model_inputs(image_width, image_height, image_channels, z_dim)
  • model_loss(input_real, input_z, out_channel_dim)
  • model_opt(d_loss, g_loss, learning_rate, beta1)

Use the show_generator_output to show generator output while you train. Running show_generator_output for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator output every 100 batches.

In [21]:
def scale(x, feature_range=(-1, 1)):
    # scale to (0, 1)
    # x = ((x - x.min())/(255 - x.min()))
    x = ((x - x.min())/(x.max() - x.min()))
    
    # scale to feature_range
    min, max = feature_range
    x = x * (max - min) + min
    return x

def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
    """
    Train the GAN
    :param epoch_count: Number of epochs
    :param batch_size: Batch Size
    :param z_dim: Z dimension
    :param learning_rate: Learning Rate
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :param get_batches: Function to get batches
    :param data_shape: Shape of the data
    :param data_image_mode: The image mode to use for images ("RGB" or "L")
    """
    # TODO: Build Model
        # TODO: Build Model
    tf.reset_default_graph()
    (_, image_width, image_height, image_channels) = data_shape
    
    input_real, input_z, l_rate = model_inputs(image_width, image_height, image_channels, z_dim)
    d_loss, g_loss = model_loss(input_real, input_z, image_channels)
    d_opt, g_opt = model_opt(d_loss, g_loss, l_rate, beta1)
    
    samples, losses = [], []
    steps = 0
    print_every = 3
    show_every = epoch_count*30
    with tf.Session() as sess:
        sess.run(tf.global_variables_initializer())
        for epoch_i in range(epoch_count):
            for batch_images in get_batches(batch_size):
                # TODO: Train Model
                steps += 1
                
                # sample random noise for G
                batch_z = np.random.uniform(-1, 1, size=(batch_size, z_dim))
                
                # scale input images 
                # scale_images = scale(batch_images)
                batch_images *= 2.0 
              
                # Run optimizer 
                _= sess.run(d_opt, feed_dict={input_z: batch_z, input_real: batch_images, l_rate: learning_rate})
                _= sess.run(g_opt, feed_dict={input_z: batch_z, input_real: batch_images, l_rate: learning_rate})
                
                # Run G optimizer twice
                _= sess.run(g_opt, feed_dict={input_z: batch_z, input_real: batch_images, l_rate: learning_rate})

                if steps % print_every == 0:
                    train_loss_d = d_loss.eval({input_z: batch_z, input_real:batch_images})
                    train_loss_g = g_loss.eval({input_z: batch_z})
                    print("Epoch {}/{}...".format(epoch_i+1, epoch_count),
                          "Discriminator Loss: {:.4f}...".format(train_loss_d),
                          "Generator Loss: {:.4f}".format(train_loss_g))
                    losses.append((train_loss_d, train_loss_g))
                if steps % show_every == 0:
                    show_generator_output(sess, 25, input_z, image_channels, data_image_mode)
                    

MNIST

Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.

In [13]:
batch_size = 64
z_dim = 100
learning_rate = 0.001 # 0.0002
beta1 = 0.3 # 0.5


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2

mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
          mnist_dataset.shape, mnist_dataset.image_mode)
Epoch 1/2... Discriminator Loss: 14.7134... Generator Loss: 0.0000
Epoch 1/2... Discriminator Loss: 1.3634... Generator Loss: 1.3395
Epoch 1/2... Discriminator Loss: 1.8103... Generator Loss: 8.8854
Epoch 1/2... Discriminator Loss: 0.7265... Generator Loss: 2.9463
Epoch 1/2... Discriminator Loss: 3.3305... Generator Loss: 0.2865
Epoch 1/2... Discriminator Loss: 1.8203... Generator Loss: 2.6318
Epoch 1/2... Discriminator Loss: 3.1616... Generator Loss: 0.1143
Epoch 1/2... Discriminator Loss: 1.8765... Generator Loss: 1.4955
Epoch 1/2... Discriminator Loss: 2.4201... Generator Loss: 0.1644
Epoch 1/2... Discriminator Loss: 1.7686... Generator Loss: 1.0975
Epoch 1/2... Discriminator Loss: 1.9047... Generator Loss: 0.2988
Epoch 1/2... Discriminator Loss: 1.5688... Generator Loss: 1.2094
Epoch 1/2... Discriminator Loss: 2.0135... Generator Loss: 0.2555
Epoch 1/2... Discriminator Loss: 1.8032... Generator Loss: 1.3301
Epoch 1/2... Discriminator Loss: 1.6872... Generator Loss: 0.3528
Epoch 1/2... Discriminator Loss: 1.7112... Generator Loss: 1.3730
Epoch 1/2... Discriminator Loss: 1.7625... Generator Loss: 0.3639
Epoch 1/2... Discriminator Loss: 1.4699... Generator Loss: 1.2507
Epoch 1/2... Discriminator Loss: 1.5269... Generator Loss: 0.4604
Epoch 1/2... Discriminator Loss: 1.5228... Generator Loss: 1.2883
Epoch 1/2... Discriminator Loss: 1.7451... Generator Loss: 0.3099
Epoch 1/2... Discriminator Loss: 1.4973... Generator Loss: 1.3409
Epoch 1/2... Discriminator Loss: 1.5945... Generator Loss: 0.4164
Epoch 1/2... Discriminator Loss: 1.2849... Generator Loss: 1.1740
Epoch 1/2... Discriminator Loss: 1.4103... Generator Loss: 0.5723
Epoch 1/2... Discriminator Loss: 1.5986... Generator Loss: 1.4930
Epoch 1/2... Discriminator Loss: 1.5346... Generator Loss: 0.4272
Epoch 1/2... Discriminator Loss: 1.4147... Generator Loss: 1.1341
Epoch 1/2... Discriminator Loss: 1.6344... Generator Loss: 0.4057
Epoch 1/2... Discriminator Loss: 1.3366... Generator Loss: 0.9060
Epoch 1/2... Discriminator Loss: 1.4754... Generator Loss: 0.4810
Epoch 1/2... Discriminator Loss: 1.6198... Generator Loss: 1.5365
Epoch 1/2... Discriminator Loss: 1.4466... Generator Loss: 0.4676
Epoch 1/2... Discriminator Loss: 1.3165... Generator Loss: 1.0500
Epoch 1/2... Discriminator Loss: 1.3711... Generator Loss: 0.6119
Epoch 1/2... Discriminator Loss: 1.2782... Generator Loss: 1.1101
Epoch 1/2... Discriminator Loss: 1.9359... Generator Loss: 0.2754
Epoch 1/2... Discriminator Loss: 1.3718... Generator Loss: 0.7184
Epoch 1/2... Discriminator Loss: 1.3444... Generator Loss: 0.7553
Epoch 1/2... Discriminator Loss: 1.6858... Generator Loss: 1.8036
Epoch 1/2... Discriminator Loss: 1.5155... Generator Loss: 0.5019
Epoch 1/2... Discriminator Loss: 1.5366... Generator Loss: 1.7792
Epoch 1/2... Discriminator Loss: 1.3765... Generator Loss: 0.5351
Epoch 1/2... Discriminator Loss: 1.2435... Generator Loss: 1.4285
Epoch 1/2... Discriminator Loss: 1.6853... Generator Loss: 0.3757
Epoch 1/2... Discriminator Loss: 1.3483... Generator Loss: 1.4569
Epoch 1/2... Discriminator Loss: 1.3493... Generator Loss: 0.5727
Epoch 1/2... Discriminator Loss: 1.4467... Generator Loss: 1.6847
Epoch 1/2... Discriminator Loss: 1.5877... Generator Loss: 0.4064
Epoch 1/2... Discriminator Loss: 1.3586... Generator Loss: 1.1381
Epoch 1/2... Discriminator Loss: 1.4187... Generator Loss: 0.4831
Epoch 1/2... Discriminator Loss: 1.5840... Generator Loss: 1.5960
Epoch 1/2... Discriminator Loss: 1.3410... Generator Loss: 0.5903
Epoch 1/2... Discriminator Loss: 1.4526... Generator Loss: 1.5390
Epoch 1/2... Discriminator Loss: 1.7173... Generator Loss: 0.3803
Epoch 1/2... Discriminator Loss: 1.2516... Generator Loss: 1.0516
Epoch 1/2... Discriminator Loss: 1.4345... Generator Loss: 0.4598
Epoch 1/2... Discriminator Loss: 1.4583... Generator Loss: 1.7740
Epoch 1/2... Discriminator Loss: 1.5585... Generator Loss: 0.4280
Epoch 1/2... Discriminator Loss: 1.4676... Generator Loss: 1.5696
Epoch 1/2... Discriminator Loss: 1.4165... Generator Loss: 0.5081
Epoch 1/2... Discriminator Loss: 1.3477... Generator Loss: 1.2256
Epoch 1/2... Discriminator Loss: 1.6419... Generator Loss: 0.3555
Epoch 1/2... Discriminator Loss: 1.4674... Generator Loss: 1.2521
Epoch 1/2... Discriminator Loss: 1.6486... Generator Loss: 0.3996
Epoch 1/2... Discriminator Loss: 1.2282... Generator Loss: 1.0441
Epoch 1/2... Discriminator Loss: 1.3859... Generator Loss: 0.5118
Epoch 1/2... Discriminator Loss: 1.7073... Generator Loss: 2.4299
Epoch 1/2... Discriminator Loss: 1.2749... Generator Loss: 0.6472
Epoch 1/2... Discriminator Loss: 1.4327... Generator Loss: 1.4970
Epoch 1/2... Discriminator Loss: 1.3222... Generator Loss: 0.5734
Epoch 1/2... Discriminator Loss: 1.3016... Generator Loss: 1.6762
Epoch 1/2... Discriminator Loss: 1.4015... Generator Loss: 0.5404
Epoch 1/2... Discriminator Loss: 1.3958... Generator Loss: 1.6785
Epoch 1/2... Discriminator Loss: 1.4616... Generator Loss: 0.4834
Epoch 1/2... Discriminator Loss: 1.2113... Generator Loss: 1.3370
Epoch 1/2... Discriminator Loss: 1.3610... Generator Loss: 0.5606
Epoch 1/2... Discriminator Loss: 1.3129... Generator Loss: 1.1805
Epoch 1/2... Discriminator Loss: 1.1380... Generator Loss: 0.8011
Epoch 1/2... Discriminator Loss: 1.7739... Generator Loss: 2.3474
Epoch 1/2... Discriminator Loss: 1.3940... Generator Loss: 0.5312
Epoch 1/2... Discriminator Loss: 1.2469... Generator Loss: 1.2874
Epoch 1/2... Discriminator Loss: 1.3233... Generator Loss: 0.5719
Epoch 1/2... Discriminator Loss: 1.1740... Generator Loss: 1.2003
Epoch 1/2... Discriminator Loss: 1.5612... Generator Loss: 0.3945
Epoch 1/2... Discriminator Loss: 1.2101... Generator Loss: 1.6210
Epoch 1/2... Discriminator Loss: 1.2826... Generator Loss: 0.6668
Epoch 1/2... Discriminator Loss: 1.4590... Generator Loss: 1.7540
Epoch 1/2... Discriminator Loss: 1.5948... Generator Loss: 0.3971
Epoch 1/2... Discriminator Loss: 1.1462... Generator Loss: 1.3583
Epoch 1/2... Discriminator Loss: 1.0990... Generator Loss: 0.8236
Epoch 1/2... Discriminator Loss: 1.6948... Generator Loss: 0.3436
Epoch 1/2... Discriminator Loss: 1.3655... Generator Loss: 1.7888
Epoch 1/2... Discriminator Loss: 1.2921... Generator Loss: 0.7201
Epoch 1/2... Discriminator Loss: 1.1623... Generator Loss: 0.7798
Epoch 1/2... Discriminator Loss: 1.1944... Generator Loss: 1.3148
Epoch 1/2... Discriminator Loss: 1.7795... Generator Loss: 0.3005
Epoch 1/2... Discriminator Loss: 1.1833... Generator Loss: 0.9418
Epoch 1/2... Discriminator Loss: 1.0867... Generator Loss: 0.9483
Epoch 1/2... Discriminator Loss: 1.1514... Generator Loss: 1.0716
Epoch 1/2... Discriminator Loss: 1.7414... Generator Loss: 0.3185
Epoch 1/2... Discriminator Loss: 1.4346... Generator Loss: 1.8656
Epoch 1/2... Discriminator Loss: 1.3067... Generator Loss: 0.8491
Epoch 1/2... Discriminator Loss: 1.1725... Generator Loss: 0.8316
Epoch 1/2... Discriminator Loss: 1.2724... Generator Loss: 0.6349
Epoch 1/2... Discriminator Loss: 1.3625... Generator Loss: 1.8706
Epoch 1/2... Discriminator Loss: 1.6585... Generator Loss: 0.3597
Epoch 1/2... Discriminator Loss: 1.2278... Generator Loss: 0.7984
Epoch 1/2... Discriminator Loss: 1.1773... Generator Loss: 1.0250
Epoch 1/2... Discriminator Loss: 1.2463... Generator Loss: 0.6207
Epoch 1/2... Discriminator Loss: 2.0510... Generator Loss: 2.7220
Epoch 1/2... Discriminator Loss: 1.2811... Generator Loss: 1.3134
Epoch 1/2... Discriminator Loss: 1.2075... Generator Loss: 1.2018
Epoch 1/2... Discriminator Loss: 1.4133... Generator Loss: 0.5019
Epoch 1/2... Discriminator Loss: 1.1329... Generator Loss: 1.5467
Epoch 1/2... Discriminator Loss: 1.1866... Generator Loss: 0.7303
Epoch 1/2... Discriminator Loss: 1.3510... Generator Loss: 1.7712
Epoch 1/2... Discriminator Loss: 1.4722... Generator Loss: 0.4349
Epoch 1/2... Discriminator Loss: 1.0132... Generator Loss: 0.9319
Epoch 1/2... Discriminator Loss: 1.4076... Generator Loss: 0.4695
Epoch 1/2... Discriminator Loss: 1.4242... Generator Loss: 1.5987
Epoch 1/2... Discriminator Loss: 1.5639... Generator Loss: 0.4028
Epoch 1/2... Discriminator Loss: 1.4918... Generator Loss: 1.6639
Epoch 1/2... Discriminator Loss: 1.5108... Generator Loss: 0.4948
Epoch 1/2... Discriminator Loss: 1.1122... Generator Loss: 1.1161
Epoch 1/2... Discriminator Loss: 1.2906... Generator Loss: 0.6319
Epoch 1/2... Discriminator Loss: 1.0620... Generator Loss: 1.0057
Epoch 1/2... Discriminator Loss: 1.2405... Generator Loss: 0.6259
Epoch 1/2... Discriminator Loss: 1.5037... Generator Loss: 2.1529
Epoch 1/2... Discriminator Loss: 1.2250... Generator Loss: 0.6958
Epoch 1/2... Discriminator Loss: 1.1301... Generator Loss: 0.8598
Epoch 1/2... Discriminator Loss: 1.1446... Generator Loss: 0.7475
Epoch 1/2... Discriminator Loss: 1.1435... Generator Loss: 1.7854
Epoch 1/2... Discriminator Loss: 1.4114... Generator Loss: 0.5263
Epoch 1/2... Discriminator Loss: 1.3387... Generator Loss: 1.7565
Epoch 1/2... Discriminator Loss: 1.2752... Generator Loss: 0.6434
Epoch 1/2... Discriminator Loss: 1.0606... Generator Loss: 1.2678
Epoch 1/2... Discriminator Loss: 1.2873... Generator Loss: 0.5918
Epoch 1/2... Discriminator Loss: 1.1808... Generator Loss: 1.8699
Epoch 1/2... Discriminator Loss: 1.3940... Generator Loss: 0.5807
Epoch 1/2... Discriminator Loss: 1.6732... Generator Loss: 2.1104
Epoch 1/2... Discriminator Loss: 1.2890... Generator Loss: 0.6107
Epoch 1/2... Discriminator Loss: 1.3002... Generator Loss: 0.6180
Epoch 1/2... Discriminator Loss: 1.1512... Generator Loss: 1.3134
Epoch 1/2... Discriminator Loss: 1.2058... Generator Loss: 0.7092
Epoch 1/2... Discriminator Loss: 1.2555... Generator Loss: 0.6467
Epoch 1/2... Discriminator Loss: 1.2924... Generator Loss: 1.7694
Epoch 1/2... Discriminator Loss: 1.3925... Generator Loss: 0.5064
Epoch 1/2... Discriminator Loss: 1.0013... Generator Loss: 1.1057
Epoch 1/2... Discriminator Loss: 1.0973... Generator Loss: 1.6131
Epoch 1/2... Discriminator Loss: 1.4226... Generator Loss: 0.4723
Epoch 1/2... Discriminator Loss: 1.0679... Generator Loss: 1.4332
Epoch 1/2... Discriminator Loss: 1.5906... Generator Loss: 0.5023
Epoch 1/2... Discriminator Loss: 1.3662... Generator Loss: 0.5821
Epoch 1/2... Discriminator Loss: 1.8297... Generator Loss: 2.7129
Epoch 1/2... Discriminator Loss: 1.4089... Generator Loss: 0.5657
Epoch 1/2... Discriminator Loss: 1.2312... Generator Loss: 0.7324
Epoch 1/2... Discriminator Loss: 1.2099... Generator Loss: 1.5256
Epoch 1/2... Discriminator Loss: 1.3287... Generator Loss: 0.5770
Epoch 1/2... Discriminator Loss: 1.0973... Generator Loss: 1.0720
Epoch 1/2... Discriminator Loss: 1.3780... Generator Loss: 0.5094
Epoch 1/2... Discriminator Loss: 1.2679... Generator Loss: 1.7340
Epoch 1/2... Discriminator Loss: 1.0566... Generator Loss: 0.9301
Epoch 1/2... Discriminator Loss: 1.0702... Generator Loss: 0.8964
Epoch 1/2... Discriminator Loss: 1.0276... Generator Loss: 0.8489
Epoch 1/2... Discriminator Loss: 0.9834... Generator Loss: 1.0484
Epoch 1/2... Discriminator Loss: 1.6118... Generator Loss: 0.3871
Epoch 1/2... Discriminator Loss: 1.8430... Generator Loss: 2.0406
Epoch 1/2... Discriminator Loss: 1.3693... Generator Loss: 0.6648
Epoch 1/2... Discriminator Loss: 1.2744... Generator Loss: 0.6708
Epoch 1/2... Discriminator Loss: 1.2742... Generator Loss: 1.5959
Epoch 1/2... Discriminator Loss: 1.1041... Generator Loss: 0.8885
Epoch 1/2... Discriminator Loss: 1.2447... Generator Loss: 0.7116
Epoch 1/2... Discriminator Loss: 1.8258... Generator Loss: 2.2789
Epoch 1/2... Discriminator Loss: 1.0858... Generator Loss: 0.7639
Epoch 1/2... Discriminator Loss: 0.9890... Generator Loss: 1.3060
Epoch 1/2... Discriminator Loss: 1.3613... Generator Loss: 0.5336
Epoch 1/2... Discriminator Loss: 1.0375... Generator Loss: 1.0332
Epoch 1/2... Discriminator Loss: 1.3703... Generator Loss: 0.4782
Epoch 1/2... Discriminator Loss: 1.2630... Generator Loss: 1.9465
Epoch 1/2... Discriminator Loss: 1.6032... Generator Loss: 0.4359
Epoch 1/2... Discriminator Loss: 1.2316... Generator Loss: 1.4128
Epoch 1/2... Discriminator Loss: 1.2648... Generator Loss: 0.6032
Epoch 1/2... Discriminator Loss: 1.0480... Generator Loss: 0.9063
Epoch 1/2... Discriminator Loss: 0.9919... Generator Loss: 1.2189
Epoch 1/2... Discriminator Loss: 1.2087... Generator Loss: 0.6219
Epoch 1/2... Discriminator Loss: 2.6486... Generator Loss: 3.7277
Epoch 1/2... Discriminator Loss: 1.1294... Generator Loss: 0.9504
Epoch 1/2... Discriminator Loss: 1.0007... Generator Loss: 1.2177
Epoch 1/2... Discriminator Loss: 0.8859... Generator Loss: 1.1792
Epoch 1/2... Discriminator Loss: 1.7270... Generator Loss: 0.3743
Epoch 1/2... Discriminator Loss: 1.2216... Generator Loss: 1.1278
Epoch 1/2... Discriminator Loss: 1.0404... Generator Loss: 0.9324
Epoch 1/2... Discriminator Loss: 1.2018... Generator Loss: 0.6373
Epoch 1/2... Discriminator Loss: 1.4102... Generator Loss: 2.1821
Epoch 1/2... Discriminator Loss: 1.2955... Generator Loss: 0.5990
Epoch 1/2... Discriminator Loss: 0.9481... Generator Loss: 1.6414
Epoch 1/2... Discriminator Loss: 1.0169... Generator Loss: 0.8688
Epoch 1/2... Discriminator Loss: 1.0207... Generator Loss: 0.8858
Epoch 1/2... Discriminator Loss: 0.9155... Generator Loss: 1.4203
Epoch 1/2... Discriminator Loss: 2.1866... Generator Loss: 0.2562
Epoch 1/2... Discriminator Loss: 3.1499... Generator Loss: 3.4837
Epoch 1/2... Discriminator Loss: 1.2547... Generator Loss: 1.2400
Epoch 1/2... Discriminator Loss: 1.0476... Generator Loss: 1.0413
Epoch 1/2... Discriminator Loss: 1.5039... Generator Loss: 0.4545
Epoch 1/2... Discriminator Loss: 1.0471... Generator Loss: 1.3825
Epoch 1/2... Discriminator Loss: 1.0903... Generator Loss: 0.8875
Epoch 1/2... Discriminator Loss: 1.1707... Generator Loss: 1.5291
Epoch 1/2... Discriminator Loss: 1.3406... Generator Loss: 0.5806
Epoch 1/2... Discriminator Loss: 1.0972... Generator Loss: 1.6715
Epoch 1/2... Discriminator Loss: 1.3052... Generator Loss: 0.5567
Epoch 1/2... Discriminator Loss: 1.0400... Generator Loss: 0.8418
Epoch 1/2... Discriminator Loss: 1.0014... Generator Loss: 0.8681
Epoch 1/2... Discriminator Loss: 1.0673... Generator Loss: 1.8945
Epoch 1/2... Discriminator Loss: 2.0508... Generator Loss: 0.2727
Epoch 1/2... Discriminator Loss: 1.1378... Generator Loss: 0.9428
Epoch 1/2... Discriminator Loss: 1.0798... Generator Loss: 1.0380
Epoch 1/2... Discriminator Loss: 1.1985... Generator Loss: 0.6621
Epoch 1/2... Discriminator Loss: 0.9833... Generator Loss: 1.2376
Epoch 1/2... Discriminator Loss: 0.9896... Generator Loss: 0.9178
Epoch 1/2... Discriminator Loss: 0.8058... Generator Loss: 1.5395
Epoch 1/2... Discriminator Loss: 1.3349... Generator Loss: 0.5663
Epoch 1/2... Discriminator Loss: 1.1851... Generator Loss: 1.7509
Epoch 1/2... Discriminator Loss: 1.0313... Generator Loss: 0.7970
Epoch 1/2... Discriminator Loss: 0.9466... Generator Loss: 1.5991
Epoch 1/2... Discriminator Loss: 1.1442... Generator Loss: 0.7151
Epoch 1/2... Discriminator Loss: 1.3699... Generator Loss: 1.9718
Epoch 1/2... Discriminator Loss: 1.4412... Generator Loss: 0.5165
Epoch 1/2... Discriminator Loss: 1.1096... Generator Loss: 1.0009
Epoch 1/2... Discriminator Loss: 1.1225... Generator Loss: 0.7065
Epoch 1/2... Discriminator Loss: 1.3483... Generator Loss: 2.4569
Epoch 1/2... Discriminator Loss: 1.1143... Generator Loss: 0.7604
Epoch 1/2... Discriminator Loss: 1.1745... Generator Loss: 1.6079
Epoch 1/2... Discriminator Loss: 1.6636... Generator Loss: 0.3903
Epoch 1/2... Discriminator Loss: 1.1084... Generator Loss: 1.5751
Epoch 1/2... Discriminator Loss: 1.4324... Generator Loss: 0.4906
Epoch 1/2... Discriminator Loss: 0.9815... Generator Loss: 1.2288
Epoch 1/2... Discriminator Loss: 1.0289... Generator Loss: 0.7953
Epoch 1/2... Discriminator Loss: 1.0048... Generator Loss: 2.0728
Epoch 1/2... Discriminator Loss: 1.8925... Generator Loss: 0.2809
Epoch 1/2... Discriminator Loss: 1.0444... Generator Loss: 1.0523
Epoch 1/2... Discriminator Loss: 1.0305... Generator Loss: 1.1920
Epoch 1/2... Discriminator Loss: 1.2459... Generator Loss: 0.6054
Epoch 1/2... Discriminator Loss: 1.0115... Generator Loss: 1.6214
Epoch 1/2... Discriminator Loss: 0.9514... Generator Loss: 1.0135
Epoch 1/2... Discriminator Loss: 0.9820... Generator Loss: 2.0053
Epoch 1/2... Discriminator Loss: 1.0731... Generator Loss: 0.8391
Epoch 1/2... Discriminator Loss: 0.9298... Generator Loss: 0.9478
Epoch 1/2... Discriminator Loss: 1.3821... Generator Loss: 2.7551
Epoch 1/2... Discriminator Loss: 1.1920... Generator Loss: 0.6961
Epoch 1/2... Discriminator Loss: 1.4121... Generator Loss: 2.4393
Epoch 1/2... Discriminator Loss: 1.2709... Generator Loss: 0.6041
Epoch 1/2... Discriminator Loss: 0.9727... Generator Loss: 1.8431
Epoch 1/2... Discriminator Loss: 1.4421... Generator Loss: 0.4496
Epoch 1/2... Discriminator Loss: 0.8672... Generator Loss: 1.1775
Epoch 1/2... Discriminator Loss: 0.8504... Generator Loss: 1.1154
Epoch 1/2... Discriminator Loss: 1.7211... Generator Loss: 0.3793
Epoch 1/2... Discriminator Loss: 1.1109... Generator Loss: 1.2973
Epoch 1/2... Discriminator Loss: 1.2327... Generator Loss: 0.6937
Epoch 1/2... Discriminator Loss: 1.2616... Generator Loss: 1.7041
Epoch 1/2... Discriminator Loss: 1.6770... Generator Loss: 0.4263
Epoch 1/2... Discriminator Loss: 1.1644... Generator Loss: 1.9407
Epoch 1/2... Discriminator Loss: 1.2805... Generator Loss: 0.5581
Epoch 1/2... Discriminator Loss: 0.9011... Generator Loss: 1.8597
Epoch 1/2... Discriminator Loss: 1.5793... Generator Loss: 0.4760
Epoch 1/2... Discriminator Loss: 0.8685... Generator Loss: 1.3428
Epoch 1/2... Discriminator Loss: 0.8103... Generator Loss: 1.8913
Epoch 1/2... Discriminator Loss: 0.9926... Generator Loss: 0.9246
Epoch 1/2... Discriminator Loss: 1.0541... Generator Loss: 0.7874
Epoch 1/2... Discriminator Loss: 0.9057... Generator Loss: 2.1482
Epoch 1/2... Discriminator Loss: 1.7870... Generator Loss: 0.3391
Epoch 1/2... Discriminator Loss: 0.9280... Generator Loss: 1.1738
Epoch 1/2... Discriminator Loss: 1.3857... Generator Loss: 0.5537
Epoch 1/2... Discriminator Loss: 1.0267... Generator Loss: 1.4960
Epoch 1/2... Discriminator Loss: 1.0108... Generator Loss: 0.8871
Epoch 1/2... Discriminator Loss: 0.7907... Generator Loss: 1.2613
Epoch 1/2... Discriminator Loss: 0.8053... Generator Loss: 1.1282
Epoch 1/2... Discriminator Loss: 0.7134... Generator Loss: 1.6173
Epoch 1/2... Discriminator Loss: 0.6954... Generator Loss: 1.5115
Epoch 1/2... Discriminator Loss: 0.7340... Generator Loss: 1.7841
Epoch 1/2... Discriminator Loss: 1.4172... Generator Loss: 0.5054
Epoch 1/2... Discriminator Loss: 2.8877... Generator Loss: 3.8375
Epoch 1/2... Discriminator Loss: 1.0438... Generator Loss: 1.0400
Epoch 1/2... Discriminator Loss: 1.2279... Generator Loss: 0.6832
Epoch 1/2... Discriminator Loss: 0.9872... Generator Loss: 1.4471
Epoch 1/2... Discriminator Loss: 1.2584... Generator Loss: 0.7018
Epoch 1/2... Discriminator Loss: 1.2048... Generator Loss: 2.1794
Epoch 1/2... Discriminator Loss: 1.4830... Generator Loss: 0.5222
Epoch 1/2... Discriminator Loss: 1.4073... Generator Loss: 0.5404
Epoch 1/2... Discriminator Loss: 0.8466... Generator Loss: 1.4257
Epoch 1/2... Discriminator Loss: 0.9092... Generator Loss: 1.0654
Epoch 1/2... Discriminator Loss: 0.8907... Generator Loss: 0.9701
Epoch 1/2... Discriminator Loss: 0.8445... Generator Loss: 1.0668
Epoch 1/2... Discriminator Loss: 0.7602... Generator Loss: 1.6842
Epoch 1/2... Discriminator Loss: 2.4343... Generator Loss: 0.2137
Epoch 1/2... Discriminator Loss: 1.4969... Generator Loss: 2.3981
Epoch 1/2... Discriminator Loss: 1.0555... Generator Loss: 0.8218
Epoch 1/2... Discriminator Loss: 0.9093... Generator Loss: 1.3231
Epoch 1/2... Discriminator Loss: 1.1320... Generator Loss: 0.7587
Epoch 1/2... Discriminator Loss: 1.0527... Generator Loss: 2.1130
Epoch 1/2... Discriminator Loss: 1.1213... Generator Loss: 0.6872
Epoch 1/2... Discriminator Loss: 1.5676... Generator Loss: 2.5821
Epoch 1/2... Discriminator Loss: 1.3642... Generator Loss: 0.6169
Epoch 1/2... Discriminator Loss: 0.9500... Generator Loss: 1.1023
Epoch 1/2... Discriminator Loss: 0.8891... Generator Loss: 1.3039
Epoch 1/2... Discriminator Loss: 1.0905... Generator Loss: 0.8948
Epoch 1/2... Discriminator Loss: 0.9244... Generator Loss: 1.0294
Epoch 1/2... Discriminator Loss: 0.7586... Generator Loss: 1.6537
Epoch 1/2... Discriminator Loss: 0.7902... Generator Loss: 1.8606
Epoch 1/2... Discriminator Loss: 1.1005... Generator Loss: 0.8366
Epoch 1/2... Discriminator Loss: 1.1201... Generator Loss: 3.0761
Epoch 1/2... Discriminator Loss: 1.2470... Generator Loss: 0.6183
Epoch 2/2... Discriminator Loss: 1.8868... Generator Loss: 3.5988
Epoch 2/2... Discriminator Loss: 0.9515... Generator Loss: 1.1291
Epoch 2/2... Discriminator Loss: 1.0269... Generator Loss: 0.8051
Epoch 2/2... Discriminator Loss: 0.9149... Generator Loss: 1.1589
Epoch 2/2... Discriminator Loss: 1.1719... Generator Loss: 0.7703
Epoch 2/2... Discriminator Loss: 0.8211... Generator Loss: 1.1399
Epoch 2/2... Discriminator Loss: 0.9809... Generator Loss: 0.8367
Epoch 2/2... Discriminator Loss: 0.7631... Generator Loss: 1.3109
Epoch 2/2... Discriminator Loss: 0.8130... Generator Loss: 1.3150
Epoch 2/2... Discriminator Loss: 0.6807... Generator Loss: 2.1190
Epoch 2/2... Discriminator Loss: 3.0511... Generator Loss: 0.1254
Epoch 2/2... Discriminator Loss: 1.0118... Generator Loss: 1.2367
Epoch 2/2... Discriminator Loss: 0.9205... Generator Loss: 1.0618
Epoch 2/2... Discriminator Loss: 0.8369... Generator Loss: 1.5240
Epoch 2/2... Discriminator Loss: 0.9144... Generator Loss: 0.9854
Epoch 2/2... Discriminator Loss: 0.8853... Generator Loss: 1.5207
Epoch 2/2... Discriminator Loss: 1.0083... Generator Loss: 0.8569
Epoch 2/2... Discriminator Loss: 0.7727... Generator Loss: 1.2456
Epoch 2/2... Discriminator Loss: 0.6548... Generator Loss: 1.7816
Epoch 2/2... Discriminator Loss: 2.4876... Generator Loss: 0.1950
Epoch 2/2... Discriminator Loss: 1.0640... Generator Loss: 1.4176
Epoch 2/2... Discriminator Loss: 1.3486... Generator Loss: 0.5904
Epoch 2/2... Discriminator Loss: 0.9067... Generator Loss: 0.9735
Epoch 2/2... Discriminator Loss: 0.7103... Generator Loss: 1.7815
Epoch 2/2... Discriminator Loss: 1.2727... Generator Loss: 0.5829
Epoch 2/2... Discriminator Loss: 0.8208... Generator Loss: 2.3119
Epoch 2/2... Discriminator Loss: 1.7444... Generator Loss: 0.4109
Epoch 2/2... Discriminator Loss: 1.3275... Generator Loss: 2.6796
Epoch 2/2... Discriminator Loss: 0.8159... Generator Loss: 1.2838
Epoch 2/2... Discriminator Loss: 1.2334... Generator Loss: 0.6760
Epoch 2/2... Discriminator Loss: 0.8136... Generator Loss: 1.2246
Epoch 2/2... Discriminator Loss: 0.7183... Generator Loss: 1.4008
Epoch 2/2... Discriminator Loss: 0.6457... Generator Loss: 1.8393
Epoch 2/2... Discriminator Loss: 0.9624... Generator Loss: 0.9315
Epoch 2/2... Discriminator Loss: 0.9028... Generator Loss: 1.0499
Epoch 2/2... Discriminator Loss: 1.3878... Generator Loss: 3.4818
Epoch 2/2... Discriminator Loss: 1.7510... Generator Loss: 0.4064
Epoch 2/2... Discriminator Loss: 1.0707... Generator Loss: 2.3668
Epoch 2/2... Discriminator Loss: 0.8170... Generator Loss: 1.5013
Epoch 2/2... Discriminator Loss: 1.4628... Generator Loss: 0.4759
Epoch 2/2... Discriminator Loss: 1.0596... Generator Loss: 1.8158
Epoch 2/2... Discriminator Loss: 1.9094... Generator Loss: 0.3544
Epoch 2/2... Discriminator Loss: 0.7007... Generator Loss: 1.7016
Epoch 2/2... Discriminator Loss: 0.8057... Generator Loss: 1.2667
Epoch 2/2... Discriminator Loss: 0.8445... Generator Loss: 1.1983
Epoch 2/2... Discriminator Loss: 0.7797... Generator Loss: 1.2355
Epoch 2/2... Discriminator Loss: 0.9168... Generator Loss: 1.0927
Epoch 2/2... Discriminator Loss: 0.8739... Generator Loss: 1.1080
Epoch 2/2... Discriminator Loss: 1.1083... Generator Loss: 0.7657
Epoch 2/2... Discriminator Loss: 0.6738... Generator Loss: 1.9001
Epoch 2/2... Discriminator Loss: 1.5335... Generator Loss: 0.4819
Epoch 2/2... Discriminator Loss: 3.1078... Generator Loss: 4.4634
Epoch 2/2... Discriminator Loss: 0.8994... Generator Loss: 1.3215
Epoch 2/2... Discriminator Loss: 0.9474... Generator Loss: 1.0697
Epoch 2/2... Discriminator Loss: 0.9203... Generator Loss: 2.1439
Epoch 2/2... Discriminator Loss: 0.6728... Generator Loss: 1.4820
Epoch 2/2... Discriminator Loss: 1.8905... Generator Loss: 0.3459
Epoch 2/2... Discriminator Loss: 0.8921... Generator Loss: 1.4132
Epoch 2/2... Discriminator Loss: 1.4146... Generator Loss: 0.5156
Epoch 2/2... Discriminator Loss: 0.8328... Generator Loss: 1.4108
Epoch 2/2... Discriminator Loss: 1.2024... Generator Loss: 2.1409
Epoch 2/2... Discriminator Loss: 0.9956... Generator Loss: 0.9981
Epoch 2/2... Discriminator Loss: 1.0789... Generator Loss: 0.7388
Epoch 2/2... Discriminator Loss: 0.8072... Generator Loss: 1.8914
Epoch 2/2... Discriminator Loss: 0.7977... Generator Loss: 1.1252
Epoch 2/2... Discriminator Loss: 0.9601... Generator Loss: 2.3794
Epoch 2/2... Discriminator Loss: 1.1884... Generator Loss: 0.7838
Epoch 2/2... Discriminator Loss: 1.1371... Generator Loss: 2.7553
Epoch 2/2... Discriminator Loss: 0.7370... Generator Loss: 1.7126
Epoch 2/2... Discriminator Loss: 1.0850... Generator Loss: 0.7786
Epoch 2/2... Discriminator Loss: 0.6209... Generator Loss: 1.8308
Epoch 2/2... Discriminator Loss: 0.8216... Generator Loss: 1.3194
Epoch 2/2... Discriminator Loss: 0.6369... Generator Loss: 1.6605
Epoch 2/2... Discriminator Loss: 0.5813... Generator Loss: 1.8687
Epoch 2/2... Discriminator Loss: 0.5734... Generator Loss: 2.0814
Epoch 2/2... Discriminator Loss: 0.8843... Generator Loss: 1.2749
Epoch 2/2... Discriminator Loss: 0.7968... Generator Loss: 2.5962
Epoch 2/2... Discriminator Loss: 1.0810... Generator Loss: 3.1822
Epoch 2/2... Discriminator Loss: 2.8342... Generator Loss: 0.1621
Epoch 2/2... Discriminator Loss: 0.9769... Generator Loss: 1.4646
Epoch 2/2... Discriminator Loss: 0.9802... Generator Loss: 2.2979
Epoch 2/2... Discriminator Loss: 0.8368... Generator Loss: 1.8281
Epoch 2/2... Discriminator Loss: 0.7549... Generator Loss: 1.4884
Epoch 2/2... Discriminator Loss: 0.8694... Generator Loss: 1.1082
Epoch 2/2... Discriminator Loss: 0.6856... Generator Loss: 1.4040
Epoch 2/2... Discriminator Loss: 0.9971... Generator Loss: 1.0161
Epoch 2/2... Discriminator Loss: 0.6979... Generator Loss: 1.7714
Epoch 2/2... Discriminator Loss: 1.0104... Generator Loss: 1.0347
Epoch 2/2... Discriminator Loss: 0.6273... Generator Loss: 1.9188
Epoch 2/2... Discriminator Loss: 0.7358... Generator Loss: 1.1854
Epoch 2/2... Discriminator Loss: 0.5746... Generator Loss: 2.1521
Epoch 2/2... Discriminator Loss: 0.6959... Generator Loss: 1.4006
Epoch 2/2... Discriminator Loss: 0.8712... Generator Loss: 1.1452
Epoch 2/2... Discriminator Loss: 1.0014... Generator Loss: 1.1192
Epoch 2/2... Discriminator Loss: 1.1199... Generator Loss: 3.2631
Epoch 2/2... Discriminator Loss: 1.9010... Generator Loss: 0.3783
Epoch 2/2... Discriminator Loss: 0.9483... Generator Loss: 2.0878
Epoch 2/2... Discriminator Loss: 1.2940... Generator Loss: 0.6607
Epoch 2/2... Discriminator Loss: 1.0375... Generator Loss: 0.8662
Epoch 2/2... Discriminator Loss: 0.8977... Generator Loss: 2.4554
Epoch 2/2... Discriminator Loss: 0.7220... Generator Loss: 1.4775
Epoch 2/2... Discriminator Loss: 0.9307... Generator Loss: 2.7083
Epoch 2/2... Discriminator Loss: 1.5529... Generator Loss: 0.4770
Epoch 2/2... Discriminator Loss: 0.8518... Generator Loss: 2.2123
Epoch 2/2... Discriminator Loss: 1.1879... Generator Loss: 0.7425
Epoch 2/2... Discriminator Loss: 0.9581... Generator Loss: 2.4213
Epoch 2/2... Discriminator Loss: 0.6708... Generator Loss: 2.0488
Epoch 2/2... Discriminator Loss: 0.8174... Generator Loss: 1.1289
Epoch 2/2... Discriminator Loss: 0.8275... Generator Loss: 1.2814
Epoch 2/2... Discriminator Loss: 0.9211... Generator Loss: 1.0470
Epoch 2/2... Discriminator Loss: 0.7454... Generator Loss: 2.1047
Epoch 2/2... Discriminator Loss: 1.0229... Generator Loss: 1.0161
Epoch 2/2... Discriminator Loss: 1.1549... Generator Loss: 3.3631
Epoch 2/2... Discriminator Loss: 1.5399... Generator Loss: 0.4475
Epoch 2/2... Discriminator Loss: 0.9467... Generator Loss: 1.6535
Epoch 2/2... Discriminator Loss: 1.5144... Generator Loss: 0.4503
Epoch 2/2... Discriminator Loss: 0.7552... Generator Loss: 1.2895
Epoch 2/2... Discriminator Loss: 0.5575... Generator Loss: 2.1564
Epoch 2/2... Discriminator Loss: 0.5817... Generator Loss: 1.9026
Epoch 2/2... Discriminator Loss: 0.6945... Generator Loss: 1.6050
Epoch 2/2... Discriminator Loss: 1.0809... Generator Loss: 0.7996
Epoch 2/2... Discriminator Loss: 0.6669... Generator Loss: 1.5830
Epoch 2/2... Discriminator Loss: 0.6608... Generator Loss: 2.4001
Epoch 2/2... Discriminator Loss: 1.2160... Generator Loss: 1.0000
Epoch 2/2... Discriminator Loss: 0.9820... Generator Loss: 3.6032
Epoch 2/2... Discriminator Loss: 2.4700... Generator Loss: 0.2795
Epoch 2/2... Discriminator Loss: 0.9366... Generator Loss: 1.9179
Epoch 2/2... Discriminator Loss: 1.0096... Generator Loss: 2.1386
Epoch 2/2... Discriminator Loss: 0.8462... Generator Loss: 1.1184
Epoch 2/2... Discriminator Loss: 0.9818... Generator Loss: 0.8553
Epoch 2/2... Discriminator Loss: 0.7053... Generator Loss: 1.9801
Epoch 2/2... Discriminator Loss: 1.1795... Generator Loss: 0.7239
Epoch 2/2... Discriminator Loss: 0.8109... Generator Loss: 1.4865
Epoch 2/2... Discriminator Loss: 0.6550... Generator Loss: 1.9440
Epoch 2/2... Discriminator Loss: 0.8143... Generator Loss: 1.3003
Epoch 2/2... Discriminator Loss: 0.6041... Generator Loss: 1.8009
Epoch 2/2... Discriminator Loss: 0.9076... Generator Loss: 1.2505
Epoch 2/2... Discriminator Loss: 0.5877... Generator Loss: 2.3445
Epoch 2/2... Discriminator Loss: 0.8601... Generator Loss: 0.9242
Epoch 2/2... Discriminator Loss: 0.9464... Generator Loss: 2.2703
Epoch 2/2... Discriminator Loss: 1.1545... Generator Loss: 0.7363
Epoch 2/2... Discriminator Loss: 0.9831... Generator Loss: 2.4335
Epoch 2/2... Discriminator Loss: 0.9668... Generator Loss: 1.0034
Epoch 2/2... Discriminator Loss: 0.6594... Generator Loss: 1.5478
Epoch 2/2... Discriminator Loss: 0.9973... Generator Loss: 3.3151
Epoch 2/2... Discriminator Loss: 1.2611... Generator Loss: 0.7081
Epoch 2/2... Discriminator Loss: 0.9474... Generator Loss: 2.4790
Epoch 2/2... Discriminator Loss: 1.0947... Generator Loss: 1.0958
Epoch 2/2... Discriminator Loss: 1.0609... Generator Loss: 0.8377
Epoch 2/2... Discriminator Loss: 0.8610... Generator Loss: 1.1005
Epoch 2/2... Discriminator Loss: 0.7836... Generator Loss: 1.6138
Epoch 2/2... Discriminator Loss: 0.7773... Generator Loss: 1.2768
Epoch 2/2... Discriminator Loss: 0.5177... Generator Loss: 2.2218
Epoch 2/2... Discriminator Loss: 0.9386... Generator Loss: 1.0783
Epoch 2/2... Discriminator Loss: 0.7671... Generator Loss: 1.3547
Epoch 2/2... Discriminator Loss: 0.5265... Generator Loss: 2.2939
Epoch 2/2... Discriminator Loss: 0.5423... Generator Loss: 2.3352
Epoch 2/2... Discriminator Loss: 0.6536... Generator Loss: 1.5230
Epoch 2/2... Discriminator Loss: 0.7027... Generator Loss: 1.5729
Epoch 2/2... Discriminator Loss: 0.6238... Generator Loss: 1.6330
Epoch 2/2... Discriminator Loss: 1.1884... Generator Loss: 3.4410
Epoch 2/2... Discriminator Loss: 1.4827... Generator Loss: 0.5617
Epoch 2/2... Discriminator Loss: 2.0306... Generator Loss: 4.4854
Epoch 2/2... Discriminator Loss: 1.0341... Generator Loss: 0.9160
Epoch 2/2... Discriminator Loss: 0.7553... Generator Loss: 1.5074
Epoch 2/2... Discriminator Loss: 0.8437... Generator Loss: 2.6247
Epoch 2/2... Discriminator Loss: 1.7999... Generator Loss: 0.4230
Epoch 2/2... Discriminator Loss: 0.8061... Generator Loss: 2.1677
Epoch 2/2... Discriminator Loss: 0.7211... Generator Loss: 2.1121
Epoch 2/2... Discriminator Loss: 1.0076... Generator Loss: 1.0287
Epoch 2/2... Discriminator Loss: 0.8137... Generator Loss: 1.2295
Epoch 2/2... Discriminator Loss: 0.6115... Generator Loss: 1.7293
Epoch 2/2... Discriminator Loss: 0.5897... Generator Loss: 1.9836
Epoch 2/2... Discriminator Loss: 1.0958... Generator Loss: 0.8664
Epoch 2/2... Discriminator Loss: 0.5010... Generator Loss: 2.2400
Epoch 2/2... Discriminator Loss: 0.7445... Generator Loss: 1.4864
Epoch 2/2... Discriminator Loss: 0.6073... Generator Loss: 1.8024
Epoch 2/2... Discriminator Loss: 0.5523... Generator Loss: 2.4901
Epoch 2/2... Discriminator Loss: 0.8506... Generator Loss: 1.1830
Epoch 2/2... Discriminator Loss: 0.6837... Generator Loss: 1.4927
Epoch 2/2... Discriminator Loss: 0.5967... Generator Loss: 1.9204
Epoch 2/2... Discriminator Loss: 0.7825... Generator Loss: 1.3379
Epoch 2/2... Discriminator Loss: 0.6486... Generator Loss: 1.7012
Epoch 2/2... Discriminator Loss: 0.5293... Generator Loss: 1.9301
Epoch 2/2... Discriminator Loss: 0.4562... Generator Loss: 2.4254
Epoch 2/2... Discriminator Loss: 1.4054... Generator Loss: 0.8427
Epoch 2/2... Discriminator Loss: 1.9203... Generator Loss: 4.1199
Epoch 2/2... Discriminator Loss: 1.1338... Generator Loss: 0.8587
Epoch 2/2... Discriminator Loss: 1.1651... Generator Loss: 1.4971
Epoch 2/2... Discriminator Loss: 1.5610... Generator Loss: 0.4659
Epoch 2/2... Discriminator Loss: 0.8478... Generator Loss: 1.8424
Epoch 2/2... Discriminator Loss: 0.8323... Generator Loss: 1.2399
Epoch 2/2... Discriminator Loss: 0.9010... Generator Loss: 1.1012
Epoch 2/2... Discriminator Loss: 0.8344... Generator Loss: 1.8480
Epoch 2/2... Discriminator Loss: 1.4944... Generator Loss: 0.4489
Epoch 2/2... Discriminator Loss: 1.6266... Generator Loss: 3.6522
Epoch 2/2... Discriminator Loss: 1.4727... Generator Loss: 0.5833
Epoch 2/2... Discriminator Loss: 1.0234... Generator Loss: 1.7749
Epoch 2/2... Discriminator Loss: 0.8882... Generator Loss: 1.1982
Epoch 2/2... Discriminator Loss: 0.8305... Generator Loss: 1.2299
Epoch 2/2... Discriminator Loss: 0.8564... Generator Loss: 1.2511
Epoch 2/2... Discriminator Loss: 0.9755... Generator Loss: 0.9031
Epoch 2/2... Discriminator Loss: 0.7854... Generator Loss: 1.3772
Epoch 2/2... Discriminator Loss: 1.3036... Generator Loss: 0.5901
Epoch 2/2... Discriminator Loss: 0.7189... Generator Loss: 1.6650
Epoch 2/2... Discriminator Loss: 0.8094... Generator Loss: 1.4707
Epoch 2/2... Discriminator Loss: 1.5076... Generator Loss: 0.7090
Epoch 2/2... Discriminator Loss: 0.7910... Generator Loss: 2.0400
Epoch 2/2... Discriminator Loss: 0.7560... Generator Loss: 1.3093
Epoch 2/2... Discriminator Loss: 0.7674... Generator Loss: 1.3353
Epoch 2/2... Discriminator Loss: 1.0296... Generator Loss: 2.4994
Epoch 2/2... Discriminator Loss: 0.9479... Generator Loss: 1.1047
Epoch 2/2... Discriminator Loss: 0.8140... Generator Loss: 2.6750
Epoch 2/2... Discriminator Loss: 1.3964... Generator Loss: 0.6423
Epoch 2/2... Discriminator Loss: 0.7852... Generator Loss: 1.9318
Epoch 2/2... Discriminator Loss: 0.9675... Generator Loss: 0.9604
Epoch 2/2... Discriminator Loss: 1.0002... Generator Loss: 1.0418
Epoch 2/2... Discriminator Loss: 0.6913... Generator Loss: 1.6487
Epoch 2/2... Discriminator Loss: 0.5587... Generator Loss: 2.1634
Epoch 2/2... Discriminator Loss: 1.3498... Generator Loss: 0.6316
Epoch 2/2... Discriminator Loss: 0.8638... Generator Loss: 2.8171
Epoch 2/2... Discriminator Loss: 0.6324... Generator Loss: 1.9061
Epoch 2/2... Discriminator Loss: 0.6275... Generator Loss: 1.7487
Epoch 2/2... Discriminator Loss: 1.2957... Generator Loss: 0.6826
Epoch 2/2... Discriminator Loss: 0.7230... Generator Loss: 1.5735
Epoch 2/2... Discriminator Loss: 0.5832... Generator Loss: 1.7048
Epoch 2/2... Discriminator Loss: 0.8051... Generator Loss: 1.2263
Epoch 2/2... Discriminator Loss: 0.7785... Generator Loss: 2.6059
Epoch 2/2... Discriminator Loss: 1.0615... Generator Loss: 1.0267
Epoch 2/2... Discriminator Loss: 0.7742... Generator Loss: 1.3202
Epoch 2/2... Discriminator Loss: 0.8554... Generator Loss: 1.3256
Epoch 2/2... Discriminator Loss: 1.0098... Generator Loss: 2.8776
Epoch 2/2... Discriminator Loss: 1.6220... Generator Loss: 0.5136
Epoch 2/2... Discriminator Loss: 0.6582... Generator Loss: 1.5964
Epoch 2/2... Discriminator Loss: 0.7828... Generator Loss: 1.2184
Epoch 2/2... Discriminator Loss: 0.8687... Generator Loss: 1.1079
Epoch 2/2... Discriminator Loss: 0.4900... Generator Loss: 2.3319
Epoch 2/2... Discriminator Loss: 1.4555... Generator Loss: 0.6222
Epoch 2/2... Discriminator Loss: 1.6196... Generator Loss: 3.7742
Epoch 2/2... Discriminator Loss: 1.1634... Generator Loss: 0.8557
Epoch 2/2... Discriminator Loss: 0.8680... Generator Loss: 1.2671
Epoch 2/2... Discriminator Loss: 0.6197... Generator Loss: 1.9280
Epoch 2/2... Discriminator Loss: 0.8387... Generator Loss: 1.3250
Epoch 2/2... Discriminator Loss: 0.5705... Generator Loss: 1.9920
Epoch 2/2... Discriminator Loss: 1.2259... Generator Loss: 0.7185
Epoch 2/2... Discriminator Loss: 0.7919... Generator Loss: 2.0831
Epoch 2/2... Discriminator Loss: 1.3131... Generator Loss: 0.6561
Epoch 2/2... Discriminator Loss: 0.8507... Generator Loss: 2.9311
Epoch 2/2... Discriminator Loss: 1.2329... Generator Loss: 0.6791
Epoch 2/2... Discriminator Loss: 1.2082... Generator Loss: 0.7302
Epoch 2/2... Discriminator Loss: 0.8182... Generator Loss: 2.5698
Epoch 2/2... Discriminator Loss: 0.5632... Generator Loss: 2.4055
Epoch 2/2... Discriminator Loss: 0.5775... Generator Loss: 1.9485
Epoch 2/2... Discriminator Loss: 0.5272... Generator Loss: 2.7467
Epoch 2/2... Discriminator Loss: 0.6038... Generator Loss: 2.0563
Epoch 2/2... Discriminator Loss: 0.6577... Generator Loss: 1.2556
Epoch 2/2... Discriminator Loss: 0.5612... Generator Loss: 2.1882
Epoch 2/2... Discriminator Loss: 0.5353... Generator Loss: 2.2642
Epoch 2/2... Discriminator Loss: 0.7309... Generator Loss: 1.2974
Epoch 2/2... Discriminator Loss: 0.5904... Generator Loss: 2.3709
Epoch 2/2... Discriminator Loss: 1.8697... Generator Loss: 0.5276
Epoch 2/2... Discriminator Loss: 2.1232... Generator Loss: 4.0485
Epoch 2/2... Discriminator Loss: 1.2140... Generator Loss: 0.7052
Epoch 2/2... Discriminator Loss: 0.7437... Generator Loss: 1.8660
Epoch 2/2... Discriminator Loss: 1.0103... Generator Loss: 2.8181
Epoch 2/2... Discriminator Loss: 0.8097... Generator Loss: 1.3082
Epoch 2/2... Discriminator Loss: 1.2813... Generator Loss: 0.7391
Epoch 2/2... Discriminator Loss: 0.8921... Generator Loss: 2.3747
Epoch 2/2... Discriminator Loss: 1.1726... Generator Loss: 0.9025
Epoch 2/2... Discriminator Loss: 0.8525... Generator Loss: 1.2454
Epoch 2/2... Discriminator Loss: 0.7430... Generator Loss: 1.5211
Epoch 2/2... Discriminator Loss: 1.1142... Generator Loss: 0.6902
Epoch 2/2... Discriminator Loss: 0.7209... Generator Loss: 1.7579
Epoch 2/2... Discriminator Loss: 0.9554... Generator Loss: 1.2505
Epoch 2/2... Discriminator Loss: 0.6224... Generator Loss: 2.4450
Epoch 2/2... Discriminator Loss: 0.7794... Generator Loss: 1.2398
Epoch 2/2... Discriminator Loss: 0.6700... Generator Loss: 2.2323
Epoch 2/2... Discriminator Loss: 0.8362... Generator Loss: 1.0616
Epoch 2/2... Discriminator Loss: 0.5890... Generator Loss: 1.7013
Epoch 2/2... Discriminator Loss: 0.6567... Generator Loss: 1.4604
Epoch 2/2... Discriminator Loss: 0.6743... Generator Loss: 2.0248
Epoch 2/2... Discriminator Loss: 0.4751... Generator Loss: 2.4334
Epoch 2/2... Discriminator Loss: 0.6338... Generator Loss: 1.7342
Epoch 2/2... Discriminator Loss: 1.5067... Generator Loss: 3.6669
Epoch 2/2... Discriminator Loss: 0.7548... Generator Loss: 2.5447
Epoch 2/2... Discriminator Loss: 2.0992... Generator Loss: 0.3527
Epoch 2/2... Discriminator Loss: 0.7596... Generator Loss: 2.3541
Epoch 2/2... Discriminator Loss: 0.7691... Generator Loss: 1.2763
Epoch 2/2... Discriminator Loss: 0.6077... Generator Loss: 1.7804
Epoch 2/2... Discriminator Loss: 0.5960... Generator Loss: 1.8832
Epoch 2/2... Discriminator Loss: 0.6112... Generator Loss: 1.7900
Epoch 2/2... Discriminator Loss: 0.4601... Generator Loss: 2.6904
Epoch 2/2... Discriminator Loss: 0.5212... Generator Loss: 2.1736
Epoch 2/2... Discriminator Loss: 0.6079... Generator Loss: 1.6556
Epoch 2/2... Discriminator Loss: 0.8049... Generator Loss: 1.1661
Epoch 2/2... Discriminator Loss: 0.6617... Generator Loss: 1.8261
Epoch 2/2... Discriminator Loss: 0.5861... Generator Loss: 2.9249
Epoch 2/2... Discriminator Loss: 1.3475... Generator Loss: 1.0778
Epoch 2/2... Discriminator Loss: 0.8703... Generator Loss: 3.0245
Epoch 2/2... Discriminator Loss: 0.8963... Generator Loss: 1.1315
Epoch 2/2... Discriminator Loss: 0.6641... Generator Loss: 2.3885
Epoch 2/2... Discriminator Loss: 0.7737... Generator Loss: 1.1440
Epoch 2/2... Discriminator Loss: 0.6386... Generator Loss: 2.6103
Epoch 2/2... Discriminator Loss: 0.5348... Generator Loss: 2.4671
Epoch 2/2... Discriminator Loss: 0.7181... Generator Loss: 1.4436
Epoch 2/2... Discriminator Loss: 0.5415... Generator Loss: 1.9965
Epoch 2/2... Discriminator Loss: 0.5601... Generator Loss: 1.8927
Epoch 2/2... Discriminator Loss: 0.5167... Generator Loss: 2.4431
Epoch 2/2... Discriminator Loss: 0.6128... Generator Loss: 1.5321
Epoch 2/2... Discriminator Loss: 0.7393... Generator Loss: 1.3307
Epoch 2/2... Discriminator Loss: 1.9661... Generator Loss: 5.4351
Epoch 2/2... Discriminator Loss: 2.0572... Generator Loss: 0.4061
---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-13-193d6fe295f4> in <module>()
     13 with tf.Graph().as_default():
     14     train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
---> 15           mnist_dataset.shape, mnist_dataset.image_mode)

/home/carnd/anaconda3/envs/dl/lib/python3.5/contextlib.py in __exit__(self, type, value, traceback)
     64         if type is None:
     65             try:
---> 66                 next(self.gen)
     67             except StopIteration:
     68                 return

/home/carnd/anaconda3/envs/dl/lib/python3.5/site-packages/tensorflow/python/framework/ops.py in get_controller(self, default)
   3682     finally:
   3683       if self._enforce_nesting:
-> 3684         if self.stack[-1] is not default:
   3685           raise AssertionError(
   3686               "Nesting violated for default stack of %s objects"

IndexError: list index out of range

CelebA

Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.

In [22]:
batch_size = 64 # 128
z_dim = 100
learning_rate = 0.0007 # 0.001 0.0002
beta1 = 0.37  # 0.3 0.5


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 1

celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
          celeba_dataset.shape, celeba_dataset.image_mode)
Epoch 1/1... Discriminator Loss: 8.7441... Generator Loss: 0.0023
Epoch 1/1... Discriminator Loss: 3.7806... Generator Loss: 0.4404
Epoch 1/1... Discriminator Loss: 5.0167... Generator Loss: 4.8056
Epoch 1/1... Discriminator Loss: 3.7918... Generator Loss: 0.0759
Epoch 1/1... Discriminator Loss: 2.4371... Generator Loss: 0.9109
Epoch 1/1... Discriminator Loss: 2.6712... Generator Loss: 0.1699
Epoch 1/1... Discriminator Loss: 3.0123... Generator Loss: 2.8801
Epoch 1/1... Discriminator Loss: 1.8097... Generator Loss: 0.7127
Epoch 1/1... Discriminator Loss: 2.6661... Generator Loss: 0.1376
Epoch 1/1... Discriminator Loss: 1.8054... Generator Loss: 0.4140
Epoch 1/1... Discriminator Loss: 1.8124... Generator Loss: 0.8817
Epoch 1/1... Discriminator Loss: 2.2540... Generator Loss: 0.2078
Epoch 1/1... Discriminator Loss: 1.7831... Generator Loss: 0.4929
Epoch 1/1... Discriminator Loss: 1.7143... Generator Loss: 1.4107
Epoch 1/1... Discriminator Loss: 2.0188... Generator Loss: 0.2701
Epoch 1/1... Discriminator Loss: 2.4748... Generator Loss: 0.1808
Epoch 1/1... Discriminator Loss: 1.6981... Generator Loss: 0.9381
Epoch 1/1... Discriminator Loss: 1.8451... Generator Loss: 0.4634
Epoch 1/1... Discriminator Loss: 1.5352... Generator Loss: 1.0187
Epoch 1/1... Discriminator Loss: 2.2074... Generator Loss: 0.2151
Epoch 1/1... Discriminator Loss: 1.8438... Generator Loss: 1.0872
Epoch 1/1... Discriminator Loss: 1.7821... Generator Loss: 0.3682
Epoch 1/1... Discriminator Loss: 1.8123... Generator Loss: 1.2067
Epoch 1/1... Discriminator Loss: 1.6568... Generator Loss: 0.5824
Epoch 1/1... Discriminator Loss: 1.7080... Generator Loss: 0.4339
Epoch 1/1... Discriminator Loss: 1.6307... Generator Loss: 1.1114
Epoch 1/1... Discriminator Loss: 1.6086... Generator Loss: 0.5337
Epoch 1/1... Discriminator Loss: 1.6627... Generator Loss: 0.6679
Epoch 1/1... Discriminator Loss: 1.6678... Generator Loss: 0.6570
Epoch 1/1... Discriminator Loss: 1.6459... Generator Loss: 0.5381
Epoch 1/1... Discriminator Loss: 1.6830... Generator Loss: 1.0441
Epoch 1/1... Discriminator Loss: 1.6330... Generator Loss: 0.5304
Epoch 1/1... Discriminator Loss: 1.5820... Generator Loss: 0.7081
Epoch 1/1... Discriminator Loss: 1.6453... Generator Loss: 0.4287
Epoch 1/1... Discriminator Loss: 1.5696... Generator Loss: 0.8082
Epoch 1/1... Discriminator Loss: 1.5808... Generator Loss: 0.5510
Epoch 1/1... Discriminator Loss: 1.6688... Generator Loss: 1.0255
Epoch 1/1... Discriminator Loss: 1.6256... Generator Loss: 0.5490
Epoch 1/1... Discriminator Loss: 1.5634... Generator Loss: 0.5757
Epoch 1/1... Discriminator Loss: 1.6727... Generator Loss: 1.1257
Epoch 1/1... Discriminator Loss: 1.6828... Generator Loss: 0.4634
Epoch 1/1... Discriminator Loss: 1.5489... Generator Loss: 0.6122
Epoch 1/1... Discriminator Loss: 1.5297... Generator Loss: 0.6988
Epoch 1/1... Discriminator Loss: 1.4442... Generator Loss: 0.6086
Epoch 1/1... Discriminator Loss: 1.5781... Generator Loss: 0.7348
Epoch 1/1... Discriminator Loss: 1.5702... Generator Loss: 0.5457
Epoch 1/1... Discriminator Loss: 1.4757... Generator Loss: 0.6113
Epoch 1/1... Discriminator Loss: 1.6801... Generator Loss: 0.8182
Epoch 1/1... Discriminator Loss: 1.5958... Generator Loss: 0.5648
Epoch 1/1... Discriminator Loss: 1.7365... Generator Loss: 0.3813
Epoch 1/1... Discriminator Loss: 1.5904... Generator Loss: 0.8249
Epoch 1/1... Discriminator Loss: 1.5836... Generator Loss: 0.5850
Epoch 1/1... Discriminator Loss: 1.4802... Generator Loss: 0.8173
Epoch 1/1... Discriminator Loss: 1.4731... Generator Loss: 0.8487
Epoch 1/1... Discriminator Loss: 1.5422... Generator Loss: 0.6058
Epoch 1/1... Discriminator Loss: 1.4810... Generator Loss: 0.6004
Epoch 1/1... Discriminator Loss: 1.6255... Generator Loss: 0.6073
Epoch 1/1... Discriminator Loss: 1.4669... Generator Loss: 0.8104
Epoch 1/1... Discriminator Loss: 1.4747... Generator Loss: 0.6057
Epoch 1/1... Discriminator Loss: 1.5096... Generator Loss: 0.9960
Epoch 1/1... Discriminator Loss: 1.6651... Generator Loss: 0.4266
Epoch 1/1... Discriminator Loss: 1.5347... Generator Loss: 0.6670
Epoch 1/1... Discriminator Loss: 1.6280... Generator Loss: 0.6712
Epoch 1/1... Discriminator Loss: 1.4716... Generator Loss: 0.5980
Epoch 1/1... Discriminator Loss: 1.6927... Generator Loss: 0.5414
Epoch 1/1... Discriminator Loss: 1.5345... Generator Loss: 0.7377
Epoch 1/1... Discriminator Loss: 1.6502... Generator Loss: 0.9104
Epoch 1/1... Discriminator Loss: 1.5140... Generator Loss: 0.8664
Epoch 1/1... Discriminator Loss: 1.6517... Generator Loss: 0.6774
Epoch 1/1... Discriminator Loss: 1.6221... Generator Loss: 0.6455
Epoch 1/1... Discriminator Loss: 1.6438... Generator Loss: 0.5307
Epoch 1/1... Discriminator Loss: 1.5608... Generator Loss: 0.6211
Epoch 1/1... Discriminator Loss: 1.3835... Generator Loss: 0.6515
Epoch 1/1... Discriminator Loss: 1.5420... Generator Loss: 0.6959
Epoch 1/1... Discriminator Loss: 1.5591... Generator Loss: 0.6138
Epoch 1/1... Discriminator Loss: 1.3661... Generator Loss: 0.7105
Epoch 1/1... Discriminator Loss: 1.6476... Generator Loss: 0.5887
Epoch 1/1... Discriminator Loss: 1.4341... Generator Loss: 0.7424
Epoch 1/1... Discriminator Loss: 1.4977... Generator Loss: 0.7052
Epoch 1/1... Discriminator Loss: 1.4763... Generator Loss: 0.6848
Epoch 1/1... Discriminator Loss: 1.4731... Generator Loss: 0.6018
Epoch 1/1... Discriminator Loss: 1.4207... Generator Loss: 0.7006
Epoch 1/1... Discriminator Loss: 1.4603... Generator Loss: 0.7993
Epoch 1/1... Discriminator Loss: 1.5242... Generator Loss: 0.5126
Epoch 1/1... Discriminator Loss: 1.4506... Generator Loss: 0.9654
Epoch 1/1... Discriminator Loss: 1.5266... Generator Loss: 0.7476
Epoch 1/1... Discriminator Loss: 1.4590... Generator Loss: 0.8212
Epoch 1/1... Discriminator Loss: 1.4538... Generator Loss: 0.7789
Epoch 1/1... Discriminator Loss: 1.5264... Generator Loss: 0.6904
Epoch 1/1... Discriminator Loss: 1.4425... Generator Loss: 0.7939
Epoch 1/1... Discriminator Loss: 1.5029... Generator Loss: 0.6379
Epoch 1/1... Discriminator Loss: 1.4545... Generator Loss: 0.5835
Epoch 1/1... Discriminator Loss: 1.4556... Generator Loss: 0.8783
Epoch 1/1... Discriminator Loss: 1.4858... Generator Loss: 0.5736
Epoch 1/1... Discriminator Loss: 1.4900... Generator Loss: 0.7035
Epoch 1/1... Discriminator Loss: 1.5368... Generator Loss: 0.6322
Epoch 1/1... Discriminator Loss: 1.5596... Generator Loss: 0.6705
Epoch 1/1... Discriminator Loss: 1.4700... Generator Loss: 0.7186
Epoch 1/1... Discriminator Loss: 1.4085... Generator Loss: 0.8511
Epoch 1/1... Discriminator Loss: 1.5921... Generator Loss: 0.5087
Epoch 1/1... Discriminator Loss: 1.4461... Generator Loss: 0.8803
Epoch 1/1... Discriminator Loss: 1.5038... Generator Loss: 0.7982
Epoch 1/1... Discriminator Loss: 1.4767... Generator Loss: 0.5834
Epoch 1/1... Discriminator Loss: 1.4381... Generator Loss: 0.7180
Epoch 1/1... Discriminator Loss: 1.4417... Generator Loss: 0.6607
Epoch 1/1... Discriminator Loss: 1.3813... Generator Loss: 0.6512
Epoch 1/1... Discriminator Loss: 1.5216... Generator Loss: 0.7466
Epoch 1/1... Discriminator Loss: 1.4369... Generator Loss: 0.6910
Epoch 1/1... Discriminator Loss: 1.5147... Generator Loss: 0.7938
Epoch 1/1... Discriminator Loss: 1.5034... Generator Loss: 0.7001
Epoch 1/1... Discriminator Loss: 1.5541... Generator Loss: 0.5412
Epoch 1/1... Discriminator Loss: 1.5754... Generator Loss: 0.6504
Epoch 1/1... Discriminator Loss: 1.4827... Generator Loss: 0.5606
Epoch 1/1... Discriminator Loss: 1.4864... Generator Loss: 0.6719
Epoch 1/1... Discriminator Loss: 1.4322... Generator Loss: 0.9110
Epoch 1/1... Discriminator Loss: 1.4296... Generator Loss: 0.7855
Epoch 1/1... Discriminator Loss: 1.4759... Generator Loss: 0.6923
Epoch 1/1... Discriminator Loss: 1.5106... Generator Loss: 0.7147
Epoch 1/1... Discriminator Loss: 1.4346... Generator Loss: 0.7264
Epoch 1/1... Discriminator Loss: 1.5047... Generator Loss: 0.6157
Epoch 1/1... Discriminator Loss: 1.5451... Generator Loss: 0.7281
Epoch 1/1... Discriminator Loss: 1.4115... Generator Loss: 0.7376
Epoch 1/1... Discriminator Loss: 1.6012... Generator Loss: 0.6859
Epoch 1/1... Discriminator Loss: 1.4282... Generator Loss: 0.8631
Epoch 1/1... Discriminator Loss: 1.6055... Generator Loss: 0.6290
Epoch 1/1... Discriminator Loss: 1.4812... Generator Loss: 0.6844
Epoch 1/1... Discriminator Loss: 1.4713... Generator Loss: 0.7265
Epoch 1/1... Discriminator Loss: 1.5112... Generator Loss: 0.6981
Epoch 1/1... Discriminator Loss: 1.4629... Generator Loss: 0.7223
Epoch 1/1... Discriminator Loss: 1.4976... Generator Loss: 0.6797
Epoch 1/1... Discriminator Loss: 1.4000... Generator Loss: 0.7454
Epoch 1/1... Discriminator Loss: 1.5271... Generator Loss: 0.7804
Epoch 1/1... Discriminator Loss: 1.4400... Generator Loss: 0.7724
Epoch 1/1... Discriminator Loss: 1.4165... Generator Loss: 0.7619
Epoch 1/1... Discriminator Loss: 1.5391... Generator Loss: 0.6258
Epoch 1/1... Discriminator Loss: 1.4513... Generator Loss: 0.8779
Epoch 1/1... Discriminator Loss: 1.4554... Generator Loss: 0.6700
Epoch 1/1... Discriminator Loss: 1.4288... Generator Loss: 0.7163
Epoch 1/1... Discriminator Loss: 1.5055... Generator Loss: 0.6809
Epoch 1/1... Discriminator Loss: 1.3789... Generator Loss: 0.7129
Epoch 1/1... Discriminator Loss: 1.4674... Generator Loss: 0.5993
Epoch 1/1... Discriminator Loss: 1.5089... Generator Loss: 0.7187
Epoch 1/1... Discriminator Loss: 1.4419... Generator Loss: 0.8212
Epoch 1/1... Discriminator Loss: 1.5621... Generator Loss: 0.6100
Epoch 1/1... Discriminator Loss: 1.4656... Generator Loss: 0.7458
Epoch 1/1... Discriminator Loss: 1.4676... Generator Loss: 0.7402
Epoch 1/1... Discriminator Loss: 1.4114... Generator Loss: 0.7825
Epoch 1/1... Discriminator Loss: 1.5010... Generator Loss: 0.6743
Epoch 1/1... Discriminator Loss: 1.4656... Generator Loss: 0.8403
Epoch 1/1... Discriminator Loss: 1.4081... Generator Loss: 0.7238
Epoch 1/1... Discriminator Loss: 1.4330... Generator Loss: 0.7647
Epoch 1/1... Discriminator Loss: 1.4534... Generator Loss: 0.8253
Epoch 1/1... Discriminator Loss: 1.4275... Generator Loss: 0.8057
Epoch 1/1... Discriminator Loss: 1.4019... Generator Loss: 0.7232
Epoch 1/1... Discriminator Loss: 1.6029... Generator Loss: 0.6316
Epoch 1/1... Discriminator Loss: 1.4688... Generator Loss: 0.7396
Epoch 1/1... Discriminator Loss: 1.3981... Generator Loss: 0.6422
Epoch 1/1... Discriminator Loss: 1.4179... Generator Loss: 0.6886
Epoch 1/1... Discriminator Loss: 1.5089... Generator Loss: 0.7008
Epoch 1/1... Discriminator Loss: 1.4294... Generator Loss: 0.8188
Epoch 1/1... Discriminator Loss: 1.4886... Generator Loss: 0.8804
Epoch 1/1... Discriminator Loss: 1.5526... Generator Loss: 0.8250
Epoch 1/1... Discriminator Loss: 1.4386... Generator Loss: 0.6549
Epoch 1/1... Discriminator Loss: 1.4284... Generator Loss: 0.7653
Epoch 1/1... Discriminator Loss: 1.4405... Generator Loss: 0.8498
Epoch 1/1... Discriminator Loss: 1.4684... Generator Loss: 0.7075
Epoch 1/1... Discriminator Loss: 1.4122... Generator Loss: 0.6714
Epoch 1/1... Discriminator Loss: 1.5013... Generator Loss: 0.7818
Epoch 1/1... Discriminator Loss: 1.4782... Generator Loss: 0.8165
Epoch 1/1... Discriminator Loss: 1.3924... Generator Loss: 0.8633
Epoch 1/1... Discriminator Loss: 1.4766... Generator Loss: 0.8101
Epoch 1/1... Discriminator Loss: 1.4318... Generator Loss: 0.7415
Epoch 1/1... Discriminator Loss: 1.3962... Generator Loss: 0.7302
Epoch 1/1... Discriminator Loss: 1.4526... Generator Loss: 0.7203
Epoch 1/1... Discriminator Loss: 1.4890... Generator Loss: 0.7179
Epoch 1/1... Discriminator Loss: 1.3872... Generator Loss: 0.7335
Epoch 1/1... Discriminator Loss: 1.4984... Generator Loss: 0.6823
Epoch 1/1... Discriminator Loss: 1.4850... Generator Loss: 0.6234
Epoch 1/1... Discriminator Loss: 1.5078... Generator Loss: 0.6957
Epoch 1/1... Discriminator Loss: 1.4221... Generator Loss: 0.7008
Epoch 1/1... Discriminator Loss: 1.4543... Generator Loss: 0.8246
Epoch 1/1... Discriminator Loss: 1.4503... Generator Loss: 0.6558
Epoch 1/1... Discriminator Loss: 1.4505... Generator Loss: 0.7094
Epoch 1/1... Discriminator Loss: 1.4659... Generator Loss: 0.6654
Epoch 1/1... Discriminator Loss: 1.4061... Generator Loss: 0.7155
Epoch 1/1... Discriminator Loss: 1.3816... Generator Loss: 0.8047
Epoch 1/1... Discriminator Loss: 1.4499... Generator Loss: 0.7035
Epoch 1/1... Discriminator Loss: 1.4889... Generator Loss: 0.6831
Epoch 1/1... Discriminator Loss: 1.3997... Generator Loss: 0.7783
Epoch 1/1... Discriminator Loss: 1.5299... Generator Loss: 0.7877
Epoch 1/1... Discriminator Loss: 1.4092... Generator Loss: 0.7421
Epoch 1/1... Discriminator Loss: 1.4699... Generator Loss: 0.6340
Epoch 1/1... Discriminator Loss: 1.4004... Generator Loss: 0.8221
Epoch 1/1... Discriminator Loss: 1.4774... Generator Loss: 0.7600
Epoch 1/1... Discriminator Loss: 1.4786... Generator Loss: 0.9173
Epoch 1/1... Discriminator Loss: 1.5298... Generator Loss: 0.7180
Epoch 1/1... Discriminator Loss: 1.4252... Generator Loss: 0.8044
Epoch 1/1... Discriminator Loss: 1.4768... Generator Loss: 0.6804
Epoch 1/1... Discriminator Loss: 1.4207... Generator Loss: 0.7116
Epoch 1/1... Discriminator Loss: 1.4562... Generator Loss: 0.7751
Epoch 1/1... Discriminator Loss: 1.4646... Generator Loss: 0.7379
Epoch 1/1... Discriminator Loss: 1.4665... Generator Loss: 0.7409
Epoch 1/1... Discriminator Loss: 1.4355... Generator Loss: 0.8328
Epoch 1/1... Discriminator Loss: 1.4784... Generator Loss: 0.7023
Epoch 1/1... Discriminator Loss: 1.4858... Generator Loss: 0.8533
Epoch 1/1... Discriminator Loss: 1.4734... Generator Loss: 0.7962
Epoch 1/1... Discriminator Loss: 1.5215... Generator Loss: 0.7257
Epoch 1/1... Discriminator Loss: 1.3854... Generator Loss: 0.7861
Epoch 1/1... Discriminator Loss: 1.5223... Generator Loss: 0.7795
Epoch 1/1... Discriminator Loss: 1.4331... Generator Loss: 0.8049
Epoch 1/1... Discriminator Loss: 1.4475... Generator Loss: 0.7215
Epoch 1/1... Discriminator Loss: 1.5417... Generator Loss: 0.6220
Epoch 1/1... Discriminator Loss: 1.4218... Generator Loss: 0.8036
Epoch 1/1... Discriminator Loss: 1.5118... Generator Loss: 0.6494
Epoch 1/1... Discriminator Loss: 1.3334... Generator Loss: 0.8115
Epoch 1/1... Discriminator Loss: 1.4600... Generator Loss: 0.6702
Epoch 1/1... Discriminator Loss: 1.4840... Generator Loss: 0.7515
Epoch 1/1... Discriminator Loss: 1.4258... Generator Loss: 0.8223
Epoch 1/1... Discriminator Loss: 1.3929... Generator Loss: 0.7419
Epoch 1/1... Discriminator Loss: 1.4201... Generator Loss: 0.6906
Epoch 1/1... Discriminator Loss: 1.5012... Generator Loss: 0.6247
Epoch 1/1... Discriminator Loss: 1.3781... Generator Loss: 0.7522
Epoch 1/1... Discriminator Loss: 1.4362... Generator Loss: 0.7899
Epoch 1/1... Discriminator Loss: 1.5284... Generator Loss: 0.6612
Epoch 1/1... Discriminator Loss: 1.4390... Generator Loss: 0.6774
Epoch 1/1... Discriminator Loss: 1.4237... Generator Loss: 0.8270
Epoch 1/1... Discriminator Loss: 1.4139... Generator Loss: 0.7279
Epoch 1/1... Discriminator Loss: 1.4825... Generator Loss: 0.7071
Epoch 1/1... Discriminator Loss: 1.4847... Generator Loss: 0.7162
Epoch 1/1... Discriminator Loss: 1.4014... Generator Loss: 0.7012
Epoch 1/1... Discriminator Loss: 1.5217... Generator Loss: 0.6302
Epoch 1/1... Discriminator Loss: 1.4119... Generator Loss: 0.8207
Epoch 1/1... Discriminator Loss: 1.3725... Generator Loss: 0.7258
Epoch 1/1... Discriminator Loss: 1.4918... Generator Loss: 0.6029
Epoch 1/1... Discriminator Loss: 1.4511... Generator Loss: 0.7433
Epoch 1/1... Discriminator Loss: 1.4039... Generator Loss: 0.7703
Epoch 1/1... Discriminator Loss: 1.4053... Generator Loss: 0.7062
Epoch 1/1... Discriminator Loss: 1.4398... Generator Loss: 0.7727
Epoch 1/1... Discriminator Loss: 1.4658... Generator Loss: 0.7965
Epoch 1/1... Discriminator Loss: 1.4554... Generator Loss: 0.6871
Epoch 1/1... Discriminator Loss: 1.3927... Generator Loss: 0.8940
Epoch 1/1... Discriminator Loss: 1.4380... Generator Loss: 0.5782
Epoch 1/1... Discriminator Loss: 1.3725... Generator Loss: 0.8105
Epoch 1/1... Discriminator Loss: 1.4162... Generator Loss: 0.7682
Epoch 1/1... Discriminator Loss: 1.3651... Generator Loss: 0.7424
Epoch 1/1... Discriminator Loss: 1.4800... Generator Loss: 0.7132
Epoch 1/1... Discriminator Loss: 1.4126... Generator Loss: 0.7830
Epoch 1/1... Discriminator Loss: 1.4333... Generator Loss: 0.7922
Epoch 1/1... Discriminator Loss: 1.5183... Generator Loss: 0.7155
Epoch 1/1... Discriminator Loss: 1.3828... Generator Loss: 0.8151
Epoch 1/1... Discriminator Loss: 1.3981... Generator Loss: 0.6651
Epoch 1/1... Discriminator Loss: 1.5034... Generator Loss: 0.7421
Epoch 1/1... Discriminator Loss: 1.4989... Generator Loss: 0.7284
Epoch 1/1... Discriminator Loss: 1.4025... Generator Loss: 0.7127
Epoch 1/1... Discriminator Loss: 1.4330... Generator Loss: 0.7962
Epoch 1/1... Discriminator Loss: 1.3982... Generator Loss: 0.7710
Epoch 1/1... Discriminator Loss: 1.4854... Generator Loss: 0.7853
Epoch 1/1... Discriminator Loss: 1.4366... Generator Loss: 0.9539
Epoch 1/1... Discriminator Loss: 1.5225... Generator Loss: 0.7546
Epoch 1/1... Discriminator Loss: 1.3785... Generator Loss: 0.8032
Epoch 1/1... Discriminator Loss: 1.5261... Generator Loss: 0.7549
Epoch 1/1... Discriminator Loss: 1.4550... Generator Loss: 0.6151
Epoch 1/1... Discriminator Loss: 1.4735... Generator Loss: 0.8109
Epoch 1/1... Discriminator Loss: 1.4496... Generator Loss: 0.7726
Epoch 1/1... Discriminator Loss: 1.5316... Generator Loss: 0.7162
Epoch 1/1... Discriminator Loss: 1.4021... Generator Loss: 0.6589
Epoch 1/1... Discriminator Loss: 1.4349... Generator Loss: 0.7540
Epoch 1/1... Discriminator Loss: 1.4395... Generator Loss: 0.7880
Epoch 1/1... Discriminator Loss: 1.4063... Generator Loss: 0.8053
Epoch 1/1... Discriminator Loss: 1.4197... Generator Loss: 0.7443
Epoch 1/1... Discriminator Loss: 1.4493... Generator Loss: 0.9053
Epoch 1/1... Discriminator Loss: 1.4983... Generator Loss: 0.7175
Epoch 1/1... Discriminator Loss: 1.4512... Generator Loss: 0.6652
Epoch 1/1... Discriminator Loss: 1.3999... Generator Loss: 0.7055
Epoch 1/1... Discriminator Loss: 1.4722... Generator Loss: 0.8296
Epoch 1/1... Discriminator Loss: 1.3933... Generator Loss: 0.7431
Epoch 1/1... Discriminator Loss: 1.4215... Generator Loss: 0.7082
Epoch 1/1... Discriminator Loss: 1.4614... Generator Loss: 0.8116
Epoch 1/1... Discriminator Loss: 1.4150... Generator Loss: 0.7579
Epoch 1/1... Discriminator Loss: 1.4354... Generator Loss: 0.7759
Epoch 1/1... Discriminator Loss: 1.4006... Generator Loss: 0.8283
Epoch 1/1... Discriminator Loss: 1.4392... Generator Loss: 0.7872
Epoch 1/1... Discriminator Loss: 1.4410... Generator Loss: 0.7252
Epoch 1/1... Discriminator Loss: 1.4467... Generator Loss: 0.7521
Epoch 1/1... Discriminator Loss: 1.4559... Generator Loss: 0.7899
Epoch 1/1... Discriminator Loss: 1.4300... Generator Loss: 0.7649
Epoch 1/1... Discriminator Loss: 1.4655... Generator Loss: 0.8154
Epoch 1/1... Discriminator Loss: 1.4652... Generator Loss: 0.7660
Epoch 1/1... Discriminator Loss: 1.4129... Generator Loss: 0.8184
Epoch 1/1... Discriminator Loss: 1.4136... Generator Loss: 0.8023
Epoch 1/1... Discriminator Loss: 1.4448... Generator Loss: 0.7409
Epoch 1/1... Discriminator Loss: 1.4538... Generator Loss: 0.7843
Epoch 1/1... Discriminator Loss: 1.3955... Generator Loss: 0.7988
Epoch 1/1... Discriminator Loss: 1.4318... Generator Loss: 0.8092
Epoch 1/1... Discriminator Loss: 1.4496... Generator Loss: 0.7611
Epoch 1/1... Discriminator Loss: 1.4007... Generator Loss: 0.8341
Epoch 1/1... Discriminator Loss: 1.4053... Generator Loss: 0.7583
Epoch 1/1... Discriminator Loss: 1.4388... Generator Loss: 0.7550
Epoch 1/1... Discriminator Loss: 1.4148... Generator Loss: 0.7573
Epoch 1/1... Discriminator Loss: 1.4589... Generator Loss: 0.7579
Epoch 1/1... Discriminator Loss: 1.5061... Generator Loss: 0.6725
Epoch 1/1... Discriminator Loss: 1.4754... Generator Loss: 0.7893
Epoch 1/1... Discriminator Loss: 1.3697... Generator Loss: 0.7423
Epoch 1/1... Discriminator Loss: 1.4954... Generator Loss: 0.8087
Epoch 1/1... Discriminator Loss: 1.4515... Generator Loss: 0.7599
Epoch 1/1... Discriminator Loss: 1.4134... Generator Loss: 0.8218
Epoch 1/1... Discriminator Loss: 1.4174... Generator Loss: 0.7244
Epoch 1/1... Discriminator Loss: 1.4190... Generator Loss: 0.8186
Epoch 1/1... Discriminator Loss: 1.4390... Generator Loss: 0.8138
Epoch 1/1... Discriminator Loss: 1.4801... Generator Loss: 0.7479
Epoch 1/1... Discriminator Loss: 1.4296... Generator Loss: 0.7891
Epoch 1/1... Discriminator Loss: 1.4016... Generator Loss: 0.8421
Epoch 1/1... Discriminator Loss: 1.4466... Generator Loss: 0.7299
Epoch 1/1... Discriminator Loss: 1.3972... Generator Loss: 0.7770
Epoch 1/1... Discriminator Loss: 1.4376... Generator Loss: 0.7344
Epoch 1/1... Discriminator Loss: 1.5158... Generator Loss: 0.7143
Epoch 1/1... Discriminator Loss: 1.4063... Generator Loss: 0.6641
Epoch 1/1... Discriminator Loss: 1.4193... Generator Loss: 0.8127
Epoch 1/1... Discriminator Loss: 1.4499... Generator Loss: 0.7942
Epoch 1/1... Discriminator Loss: 1.4399... Generator Loss: 0.7607
Epoch 1/1... Discriminator Loss: 1.4245... Generator Loss: 0.7841
Epoch 1/1... Discriminator Loss: 1.4387... Generator Loss: 0.8274
Epoch 1/1... Discriminator Loss: 1.4059... Generator Loss: 0.7846
Epoch 1/1... Discriminator Loss: 1.4265... Generator Loss: 0.8354
Epoch 1/1... Discriminator Loss: 1.4885... Generator Loss: 0.7705
Epoch 1/1... Discriminator Loss: 1.4146... Generator Loss: 0.7660
Epoch 1/1... Discriminator Loss: 1.5295... Generator Loss: 0.6549
Epoch 1/1... Discriminator Loss: 1.4198... Generator Loss: 0.7728
Epoch 1/1... Discriminator Loss: 1.5202... Generator Loss: 0.8256
Epoch 1/1... Discriminator Loss: 1.4200... Generator Loss: 0.8050
Epoch 1/1... Discriminator Loss: 1.4264... Generator Loss: 0.7442
Epoch 1/1... Discriminator Loss: 1.4981... Generator Loss: 0.6741
Epoch 1/1... Discriminator Loss: 1.4743... Generator Loss: 0.7021
Epoch 1/1... Discriminator Loss: 1.4564... Generator Loss: 0.7225
Epoch 1/1... Discriminator Loss: 1.4185... Generator Loss: 0.7047
Epoch 1/1... Discriminator Loss: 1.5166... Generator Loss: 0.7075
Epoch 1/1... Discriminator Loss: 1.4392... Generator Loss: 0.7591
Epoch 1/1... Discriminator Loss: 1.3998... Generator Loss: 0.8009
Epoch 1/1... Discriminator Loss: 1.4471... Generator Loss: 0.6798
Epoch 1/1... Discriminator Loss: 1.4366... Generator Loss: 0.7030
Epoch 1/1... Discriminator Loss: 1.4215... Generator Loss: 0.7533
Epoch 1/1... Discriminator Loss: 1.4692... Generator Loss: 0.6875
Epoch 1/1... Discriminator Loss: 1.3723... Generator Loss: 0.7243
Epoch 1/1... Discriminator Loss: 1.4780... Generator Loss: 0.7044
Epoch 1/1... Discriminator Loss: 1.4592... Generator Loss: 0.5964
Epoch 1/1... Discriminator Loss: 1.4283... Generator Loss: 0.7130
Epoch 1/1... Discriminator Loss: 1.3784... Generator Loss: 0.7556
Epoch 1/1... Discriminator Loss: 1.4070... Generator Loss: 0.7651
Epoch 1/1... Discriminator Loss: 1.4209... Generator Loss: 0.7731
Epoch 1/1... Discriminator Loss: 1.4126... Generator Loss: 0.7805
Epoch 1/1... Discriminator Loss: 1.3713... Generator Loss: 0.8704
Epoch 1/1... Discriminator Loss: 1.3880... Generator Loss: 0.7873
Epoch 1/1... Discriminator Loss: 1.4749... Generator Loss: 0.7390
Epoch 1/1... Discriminator Loss: 1.4372... Generator Loss: 0.7975
Epoch 1/1... Discriminator Loss: 1.4916... Generator Loss: 0.7082
Epoch 1/1... Discriminator Loss: 1.4453... Generator Loss: 0.8333
Epoch 1/1... Discriminator Loss: 1.4908... Generator Loss: 0.8134
Epoch 1/1... Discriminator Loss: 1.4913... Generator Loss: 0.7900
Epoch 1/1... Discriminator Loss: 1.5458... Generator Loss: 0.6337
Epoch 1/1... Discriminator Loss: 1.4752... Generator Loss: 0.7405
Epoch 1/1... Discriminator Loss: 1.3937... Generator Loss: 0.8772
Epoch 1/1... Discriminator Loss: 1.5313... Generator Loss: 0.6882
Epoch 1/1... Discriminator Loss: 1.6790... Generator Loss: 0.6293
Epoch 1/1... Discriminator Loss: 1.4893... Generator Loss: 0.7205
Epoch 1/1... Discriminator Loss: 1.4696... Generator Loss: 0.8611
Epoch 1/1... Discriminator Loss: 1.3795... Generator Loss: 0.7892
Epoch 1/1... Discriminator Loss: 1.3874... Generator Loss: 0.7098
Epoch 1/1... Discriminator Loss: 1.4988... Generator Loss: 0.7956
Epoch 1/1... Discriminator Loss: 1.3874... Generator Loss: 0.7766
Epoch 1/1... Discriminator Loss: 1.4812... Generator Loss: 0.7030
Epoch 1/1... Discriminator Loss: 1.6731... Generator Loss: 0.6610
Epoch 1/1... Discriminator Loss: 1.3999... Generator Loss: 0.7783
Epoch 1/1... Discriminator Loss: 1.3983... Generator Loss: 0.6826
Epoch 1/1... Discriminator Loss: 1.5077... Generator Loss: 0.6493
Epoch 1/1... Discriminator Loss: 1.4430... Generator Loss: 0.6695
Epoch 1/1... Discriminator Loss: 1.4100... Generator Loss: 0.7733
Epoch 1/1... Discriminator Loss: 1.4020... Generator Loss: 0.7612
Epoch 1/1... Discriminator Loss: 1.5305... Generator Loss: 0.5962
Epoch 1/1... Discriminator Loss: 1.5199... Generator Loss: 0.7535
Epoch 1/1... Discriminator Loss: 1.3495... Generator Loss: 0.8437
Epoch 1/1... Discriminator Loss: 1.5070... Generator Loss: 0.6727
Epoch 1/1... Discriminator Loss: 1.4591... Generator Loss: 0.7050
Epoch 1/1... Discriminator Loss: 1.4723... Generator Loss: 0.8322
Epoch 1/1... Discriminator Loss: 1.4665... Generator Loss: 0.7284
Epoch 1/1... Discriminator Loss: 1.4353... Generator Loss: 0.7071
Epoch 1/1... Discriminator Loss: 1.4485... Generator Loss: 0.7949
Epoch 1/1... Discriminator Loss: 1.5352... Generator Loss: 0.7408
Epoch 1/1... Discriminator Loss: 1.4227... Generator Loss: 0.7900
Epoch 1/1... Discriminator Loss: 1.3826... Generator Loss: 0.7641
Epoch 1/1... Discriminator Loss: 1.4472... Generator Loss: 0.7952
Epoch 1/1... Discriminator Loss: 1.4498... Generator Loss: 0.8122
Epoch 1/1... Discriminator Loss: 1.3821... Generator Loss: 0.7849
Epoch 1/1... Discriminator Loss: 1.4031... Generator Loss: 0.7045
Epoch 1/1... Discriminator Loss: 1.4191... Generator Loss: 0.7401
Epoch 1/1... Discriminator Loss: 1.3602... Generator Loss: 0.7586
Epoch 1/1... Discriminator Loss: 1.4389... Generator Loss: 0.7059
Epoch 1/1... Discriminator Loss: 1.4050... Generator Loss: 0.7479
Epoch 1/1... Discriminator Loss: 1.3984... Generator Loss: 0.7342
Epoch 1/1... Discriminator Loss: 1.3824... Generator Loss: 0.7745
Epoch 1/1... Discriminator Loss: 1.4517... Generator Loss: 0.7472
Epoch 1/1... Discriminator Loss: 1.4316... Generator Loss: 0.6905
Epoch 1/1... Discriminator Loss: 1.3859... Generator Loss: 0.7149
Epoch 1/1... Discriminator Loss: 1.3709... Generator Loss: 0.7963
Epoch 1/1... Discriminator Loss: 1.4430... Generator Loss: 0.8078
Epoch 1/1... Discriminator Loss: 1.4503... Generator Loss: 0.6884
Epoch 1/1... Discriminator Loss: 1.4207... Generator Loss: 0.7008
Epoch 1/1... Discriminator Loss: 1.4031... Generator Loss: 0.7969
Epoch 1/1... Discriminator Loss: 1.4198... Generator Loss: 0.7713
Epoch 1/1... Discriminator Loss: 1.3897... Generator Loss: 0.8002
Epoch 1/1... Discriminator Loss: 1.4339... Generator Loss: 0.7242
Epoch 1/1... Discriminator Loss: 1.3752... Generator Loss: 0.7865
Epoch 1/1... Discriminator Loss: 1.4087... Generator Loss: 0.7152
Epoch 1/1... Discriminator Loss: 1.5034... Generator Loss: 0.7403
Epoch 1/1... Discriminator Loss: 1.3519... Generator Loss: 0.7852
Epoch 1/1... Discriminator Loss: 1.4318... Generator Loss: 0.7915
Epoch 1/1... Discriminator Loss: 1.4578... Generator Loss: 0.7415
Epoch 1/1... Discriminator Loss: 1.3954... Generator Loss: 0.7759
Epoch 1/1... Discriminator Loss: 1.4222... Generator Loss: 0.7478
Epoch 1/1... Discriminator Loss: 1.4572... Generator Loss: 0.7808
Epoch 1/1... Discriminator Loss: 1.4587... Generator Loss: 0.8050
Epoch 1/1... Discriminator Loss: 1.4172... Generator Loss: 0.7254
Epoch 1/1... Discriminator Loss: 1.3901... Generator Loss: 0.8242
Epoch 1/1... Discriminator Loss: 1.4499... Generator Loss: 0.7313
Epoch 1/1... Discriminator Loss: 1.4023... Generator Loss: 0.6989
Epoch 1/1... Discriminator Loss: 1.4379... Generator Loss: 0.8237
Epoch 1/1... Discriminator Loss: 1.4193... Generator Loss: 0.7867
Epoch 1/1... Discriminator Loss: 1.3930... Generator Loss: 0.7787
Epoch 1/1... Discriminator Loss: 1.4574... Generator Loss: 0.7962
Epoch 1/1... Discriminator Loss: 1.3919... Generator Loss: 0.7002
Epoch 1/1... Discriminator Loss: 1.3984... Generator Loss: 0.7742
Epoch 1/1... Discriminator Loss: 1.4503... Generator Loss: 0.7218
Epoch 1/1... Discriminator Loss: 1.3725... Generator Loss: 0.7821
Epoch 1/1... Discriminator Loss: 1.4212... Generator Loss: 0.7047
Epoch 1/1... Discriminator Loss: 1.4169... Generator Loss: 0.6830
Epoch 1/1... Discriminator Loss: 1.4331... Generator Loss: 0.8221
Epoch 1/1... Discriminator Loss: 1.5381... Generator Loss: 0.6880
Epoch 1/1... Discriminator Loss: 1.4260... Generator Loss: 0.6885
Epoch 1/1... Discriminator Loss: 1.4487... Generator Loss: 0.7023
Epoch 1/1... Discriminator Loss: 1.3866... Generator Loss: 0.8313
Epoch 1/1... Discriminator Loss: 1.4787... Generator Loss: 0.7902
Epoch 1/1... Discriminator Loss: 1.3656... Generator Loss: 0.8111
Epoch 1/1... Discriminator Loss: 1.4223... Generator Loss: 0.8447
Epoch 1/1... Discriminator Loss: 1.4285... Generator Loss: 0.7715
Epoch 1/1... Discriminator Loss: 1.4630... Generator Loss: 0.8111
Epoch 1/1... Discriminator Loss: 1.3768... Generator Loss: 0.8583
Epoch 1/1... Discriminator Loss: 1.4220... Generator Loss: 0.7425
Epoch 1/1... Discriminator Loss: 1.4107... Generator Loss: 0.7537
Epoch 1/1... Discriminator Loss: 1.4362... Generator Loss: 0.6630
Epoch 1/1... Discriminator Loss: 1.3635... Generator Loss: 0.8143
Epoch 1/1... Discriminator Loss: 1.4253... Generator Loss: 0.7792
Epoch 1/1... Discriminator Loss: 1.3903... Generator Loss: 0.7481
Epoch 1/1... Discriminator Loss: 1.4648... Generator Loss: 0.7453
Epoch 1/1... Discriminator Loss: 1.3583... Generator Loss: 0.7864
Epoch 1/1... Discriminator Loss: 1.4301... Generator Loss: 0.7854
Epoch 1/1... Discriminator Loss: 1.4271... Generator Loss: 0.7358
Epoch 1/1... Discriminator Loss: 1.4170... Generator Loss: 0.8625
Epoch 1/1... Discriminator Loss: 1.4655... Generator Loss: 0.7744
Epoch 1/1... Discriminator Loss: 1.3959... Generator Loss: 0.7952
Epoch 1/1... Discriminator Loss: 1.5061... Generator Loss: 0.7535
Epoch 1/1... Discriminator Loss: 1.4491... Generator Loss: 0.8369
Epoch 1/1... Discriminator Loss: 1.3682... Generator Loss: 0.8388
Epoch 1/1... Discriminator Loss: 1.3736... Generator Loss: 0.7534
Epoch 1/1... Discriminator Loss: 1.4484... Generator Loss: 0.6887
Epoch 1/1... Discriminator Loss: 1.4502... Generator Loss: 0.6152
Epoch 1/1... Discriminator Loss: 1.3805... Generator Loss: 0.8200
Epoch 1/1... Discriminator Loss: 1.3808... Generator Loss: 0.7293
Epoch 1/1... Discriminator Loss: 1.3917... Generator Loss: 0.7340
Epoch 1/1... Discriminator Loss: 1.4763... Generator Loss: 0.6065
Epoch 1/1... Discriminator Loss: 1.4210... Generator Loss: 0.6110
Epoch 1/1... Discriminator Loss: 1.4241... Generator Loss: 0.8026
Epoch 1/1... Discriminator Loss: 1.4179... Generator Loss: 0.8307
Epoch 1/1... Discriminator Loss: 1.4141... Generator Loss: 0.8532
Epoch 1/1... Discriminator Loss: 1.3786... Generator Loss: 0.7891
Epoch 1/1... Discriminator Loss: 1.4018... Generator Loss: 0.8828
Epoch 1/1... Discriminator Loss: 1.3921... Generator Loss: 0.7823
Epoch 1/1... Discriminator Loss: 1.4255... Generator Loss: 0.6502
Epoch 1/1... Discriminator Loss: 1.4663... Generator Loss: 0.7384
Epoch 1/1... Discriminator Loss: 1.3645... Generator Loss: 0.7674
Epoch 1/1... Discriminator Loss: 1.4515... Generator Loss: 0.7013
Epoch 1/1... Discriminator Loss: 1.4095... Generator Loss: 0.7352
Epoch 1/1... Discriminator Loss: 1.3805... Generator Loss: 0.7486
Epoch 1/1... Discriminator Loss: 1.4499... Generator Loss: 0.7302
Epoch 1/1... Discriminator Loss: 1.4018... Generator Loss: 0.7894
Epoch 1/1... Discriminator Loss: 1.4069... Generator Loss: 0.7645
Epoch 1/1... Discriminator Loss: 1.4260... Generator Loss: 0.7472
Epoch 1/1... Discriminator Loss: 1.3925... Generator Loss: 0.7274
Epoch 1/1... Discriminator Loss: 1.4273... Generator Loss: 0.7563
Epoch 1/1... Discriminator Loss: 1.3866... Generator Loss: 0.8083
Epoch 1/1... Discriminator Loss: 1.3632... Generator Loss: 0.8182
Epoch 1/1... Discriminator Loss: 1.4333... Generator Loss: 0.7352
Epoch 1/1... Discriminator Loss: 1.5373... Generator Loss: 0.6386
Epoch 1/1... Discriminator Loss: 1.4038... Generator Loss: 0.6563
Epoch 1/1... Discriminator Loss: 1.3969... Generator Loss: 0.7387
Epoch 1/1... Discriminator Loss: 1.4575... Generator Loss: 0.6522
Epoch 1/1... Discriminator Loss: 1.4139... Generator Loss: 0.8052
Epoch 1/1... Discriminator Loss: 1.4395... Generator Loss: 0.7157
Epoch 1/1... Discriminator Loss: 1.3992... Generator Loss: 0.6952
Epoch 1/1... Discriminator Loss: 1.4375... Generator Loss: 0.7776
Epoch 1/1... Discriminator Loss: 1.4915... Generator Loss: 0.8069
Epoch 1/1... Discriminator Loss: 1.3956... Generator Loss: 0.8465
Epoch 1/1... Discriminator Loss: 1.4432... Generator Loss: 0.8268
Epoch 1/1... Discriminator Loss: 1.3752... Generator Loss: 0.8018
Epoch 1/1... Discriminator Loss: 1.3862... Generator Loss: 0.8443
Epoch 1/1... Discriminator Loss: 1.4303... Generator Loss: 0.7013
Epoch 1/1... Discriminator Loss: 1.4062... Generator Loss: 0.7637
Epoch 1/1... Discriminator Loss: 1.4098... Generator Loss: 0.8774
Epoch 1/1... Discriminator Loss: 1.4093... Generator Loss: 0.7692
Epoch 1/1... Discriminator Loss: 1.4363... Generator Loss: 0.8125
Epoch 1/1... Discriminator Loss: 1.3625... Generator Loss: 0.8816
Epoch 1/1... Discriminator Loss: 1.4255... Generator Loss: 0.8216
Epoch 1/1... Discriminator Loss: 1.4614... Generator Loss: 0.6879
Epoch 1/1... Discriminator Loss: 1.4363... Generator Loss: 0.7608
Epoch 1/1... Discriminator Loss: 1.4508... Generator Loss: 0.7198
Epoch 1/1... Discriminator Loss: 1.4267... Generator Loss: 0.7476
Epoch 1/1... Discriminator Loss: 1.4192... Generator Loss: 0.7404
Epoch 1/1... Discriminator Loss: 1.3810... Generator Loss: 0.8025
Epoch 1/1... Discriminator Loss: 1.4522... Generator Loss: 0.6664
Epoch 1/1... Discriminator Loss: 1.4302... Generator Loss: 0.6120
Epoch 1/1... Discriminator Loss: 1.4184... Generator Loss: 0.8114
Epoch 1/1... Discriminator Loss: 1.4625... Generator Loss: 0.6055
Epoch 1/1... Discriminator Loss: 1.4469... Generator Loss: 0.6880
Epoch 1/1... Discriminator Loss: 1.4721... Generator Loss: 0.6629
Epoch 1/1... Discriminator Loss: 1.3992... Generator Loss: 0.8632
Epoch 1/1... Discriminator Loss: 1.4421... Generator Loss: 0.7836
Epoch 1/1... Discriminator Loss: 1.4192... Generator Loss: 0.8489
Epoch 1/1... Discriminator Loss: 1.3810... Generator Loss: 0.7158
Epoch 1/1... Discriminator Loss: 1.4086... Generator Loss: 0.8693
Epoch 1/1... Discriminator Loss: 1.4524... Generator Loss: 0.7961
Epoch 1/1... Discriminator Loss: 1.4530... Generator Loss: 0.7149
Epoch 1/1... Discriminator Loss: 1.3947... Generator Loss: 0.8189
Epoch 1/1... Discriminator Loss: 1.4061... Generator Loss: 0.7973
Epoch 1/1... Discriminator Loss: 1.4149... Generator Loss: 0.7324
Epoch 1/1... Discriminator Loss: 1.3542... Generator Loss: 0.7238
Epoch 1/1... Discriminator Loss: 1.4129... Generator Loss: 0.6644
Epoch 1/1... Discriminator Loss: 1.4559... Generator Loss: 0.8704
Epoch 1/1... Discriminator Loss: 1.5547... Generator Loss: 0.6601
Epoch 1/1... Discriminator Loss: 1.4470... Generator Loss: 0.7283
Epoch 1/1... Discriminator Loss: 1.4130... Generator Loss: 0.6934
Epoch 1/1... Discriminator Loss: 1.3956... Generator Loss: 0.7303
Epoch 1/1... Discriminator Loss: 1.4221... Generator Loss: 0.6852
Epoch 1/1... Discriminator Loss: 1.4242... Generator Loss: 0.7457
Epoch 1/1... Discriminator Loss: 1.4123... Generator Loss: 0.8196
Epoch 1/1... Discriminator Loss: 1.4045... Generator Loss: 0.8023
Epoch 1/1... Discriminator Loss: 1.4239... Generator Loss: 0.7753
Epoch 1/1... Discriminator Loss: 1.4320... Generator Loss: 0.8348
Epoch 1/1... Discriminator Loss: 1.4347... Generator Loss: 0.7476
Epoch 1/1... Discriminator Loss: 1.3858... Generator Loss: 0.8152
Epoch 1/1... Discriminator Loss: 1.4129... Generator Loss: 0.8829
Epoch 1/1... Discriminator Loss: 1.4426... Generator Loss: 0.7677
Epoch 1/1... Discriminator Loss: 1.3859... Generator Loss: 0.7311
Epoch 1/1... Discriminator Loss: 1.4104... Generator Loss: 0.7753
Epoch 1/1... Discriminator Loss: 1.4529... Generator Loss: 0.7755
Epoch 1/1... Discriminator Loss: 1.4370... Generator Loss: 0.7630
Epoch 1/1... Discriminator Loss: 1.3951... Generator Loss: 0.8653
Epoch 1/1... Discriminator Loss: 1.4319... Generator Loss: 0.7797
Epoch 1/1... Discriminator Loss: 1.4613... Generator Loss: 0.8631
Epoch 1/1... Discriminator Loss: 1.3913... Generator Loss: 0.6919
Epoch 1/1... Discriminator Loss: 1.3796... Generator Loss: 0.7716
Epoch 1/1... Discriminator Loss: 1.3962... Generator Loss: 0.7444
Epoch 1/1... Discriminator Loss: 1.4159... Generator Loss: 0.7785
Epoch 1/1... Discriminator Loss: 1.4208... Generator Loss: 0.7208
Epoch 1/1... Discriminator Loss: 1.4619... Generator Loss: 0.7081
Epoch 1/1... Discriminator Loss: 1.3856... Generator Loss: 0.7430
Epoch 1/1... Discriminator Loss: 1.4129... Generator Loss: 0.6755
Epoch 1/1... Discriminator Loss: 1.4118... Generator Loss: 0.7335
Epoch 1/1... Discriminator Loss: 1.4115... Generator Loss: 0.7526
Epoch 1/1... Discriminator Loss: 1.3819... Generator Loss: 0.8280
Epoch 1/1... Discriminator Loss: 1.4080... Generator Loss: 0.7614
Epoch 1/1... Discriminator Loss: 1.4388... Generator Loss: 0.7726
Epoch 1/1... Discriminator Loss: 1.4058... Generator Loss: 0.6687
Epoch 1/1... Discriminator Loss: 1.4168... Generator Loss: 0.6765
Epoch 1/1... Discriminator Loss: 1.4022... Generator Loss: 0.6253
Epoch 1/1... Discriminator Loss: 1.4136... Generator Loss: 0.8711
Epoch 1/1... Discriminator Loss: 1.4028... Generator Loss: 0.7303
Epoch 1/1... Discriminator Loss: 1.3724... Generator Loss: 0.7959
Epoch 1/1... Discriminator Loss: 1.4215... Generator Loss: 0.8313
Epoch 1/1... Discriminator Loss: 1.4139... Generator Loss: 0.7358
Epoch 1/1... Discriminator Loss: 1.3903... Generator Loss: 0.8554
Epoch 1/1... Discriminator Loss: 1.3943... Generator Loss: 0.7433
Epoch 1/1... Discriminator Loss: 1.3920... Generator Loss: 0.8659
Epoch 1/1... Discriminator Loss: 1.3982... Generator Loss: 0.7864
Epoch 1/1... Discriminator Loss: 1.4144... Generator Loss: 0.7130
Epoch 1/1... Discriminator Loss: 1.4145... Generator Loss: 0.6626
Epoch 1/1... Discriminator Loss: 1.3855... Generator Loss: 0.6785
Epoch 1/1... Discriminator Loss: 1.4077... Generator Loss: 0.7693
Epoch 1/1... Discriminator Loss: 1.4222... Generator Loss: 0.7320
Epoch 1/1... Discriminator Loss: 1.4186... Generator Loss: 0.7222
Epoch 1/1... Discriminator Loss: 1.3751... Generator Loss: 0.7365
Epoch 1/1... Discriminator Loss: 1.4342... Generator Loss: 0.7055
Epoch 1/1... Discriminator Loss: 1.3942... Generator Loss: 0.8774
Epoch 1/1... Discriminator Loss: 1.3700... Generator Loss: 0.7979
Epoch 1/1... Discriminator Loss: 1.3812... Generator Loss: 0.7831
Epoch 1/1... Discriminator Loss: 1.4303... Generator Loss: 0.7320
Epoch 1/1... Discriminator Loss: 1.4467... Generator Loss: 0.6884
Epoch 1/1... Discriminator Loss: 1.4523... Generator Loss: 0.7677
Epoch 1/1... Discriminator Loss: 1.3930... Generator Loss: 0.7345
Epoch 1/1... Discriminator Loss: 1.4516... Generator Loss: 0.7164
Epoch 1/1... Discriminator Loss: 1.3901... Generator Loss: 0.7631
Epoch 1/1... Discriminator Loss: 1.4277... Generator Loss: 0.7860
Epoch 1/1... Discriminator Loss: 1.4211... Generator Loss: 0.7034
Epoch 1/1... Discriminator Loss: 1.4436... Generator Loss: 0.7187
Epoch 1/1... Discriminator Loss: 1.4797... Generator Loss: 0.8292
Epoch 1/1... Discriminator Loss: 1.4040... Generator Loss: 0.7783
Epoch 1/1... Discriminator Loss: 1.4370... Generator Loss: 0.8484
Epoch 1/1... Discriminator Loss: 1.4033... Generator Loss: 0.8975
Epoch 1/1... Discriminator Loss: 1.3709... Generator Loss: 0.8468
Epoch 1/1... Discriminator Loss: 1.3991... Generator Loss: 0.7640
Epoch 1/1... Discriminator Loss: 1.3904... Generator Loss: 0.7283
Epoch 1/1... Discriminator Loss: 1.3950... Generator Loss: 0.7222
Epoch 1/1... Discriminator Loss: 1.4150... Generator Loss: 0.7747
Epoch 1/1... Discriminator Loss: 1.4244... Generator Loss: 0.9561
Epoch 1/1... Discriminator Loss: 1.4391... Generator Loss: 0.8572
Epoch 1/1... Discriminator Loss: 1.4035... Generator Loss: 0.8258
Epoch 1/1... Discriminator Loss: 1.4130... Generator Loss: 0.6931
Epoch 1/1... Discriminator Loss: 1.4001... Generator Loss: 0.7247
Epoch 1/1... Discriminator Loss: 1.4012... Generator Loss: 0.8098
Epoch 1/1... Discriminator Loss: 1.4454... Generator Loss: 0.8231
Epoch 1/1... Discriminator Loss: 1.4354... Generator Loss: 0.6586
Epoch 1/1... Discriminator Loss: 1.4065... Generator Loss: 0.8130
Epoch 1/1... Discriminator Loss: 1.3728... Generator Loss: 0.7857
Epoch 1/1... Discriminator Loss: 1.3719... Generator Loss: 0.9062
Epoch 1/1... Discriminator Loss: 1.4366... Generator Loss: 0.6875
Epoch 1/1... Discriminator Loss: 1.4141... Generator Loss: 0.6975
Epoch 1/1... Discriminator Loss: 1.4185... Generator Loss: 0.7450
Epoch 1/1... Discriminator Loss: 1.4707... Generator Loss: 0.7675
Epoch 1/1... Discriminator Loss: 1.3434... Generator Loss: 0.8630
Epoch 1/1... Discriminator Loss: 1.4572... Generator Loss: 0.7603
Epoch 1/1... Discriminator Loss: 1.4228... Generator Loss: 0.7349
Epoch 1/1... Discriminator Loss: 1.4157... Generator Loss: 0.8242
Epoch 1/1... Discriminator Loss: 1.5214... Generator Loss: 0.6486
Epoch 1/1... Discriminator Loss: 1.3759... Generator Loss: 0.9515
Epoch 1/1... Discriminator Loss: 1.5420... Generator Loss: 0.8089
Epoch 1/1... Discriminator Loss: 1.4181... Generator Loss: 0.6652
Epoch 1/1... Discriminator Loss: 1.4489... Generator Loss: 0.7183
Epoch 1/1... Discriminator Loss: 1.4590... Generator Loss: 0.7394
Epoch 1/1... Discriminator Loss: 1.4431... Generator Loss: 0.8605
Epoch 1/1... Discriminator Loss: 1.4116... Generator Loss: 0.8919
Epoch 1/1... Discriminator Loss: 1.3681... Generator Loss: 0.7493
Epoch 1/1... Discriminator Loss: 1.4437... Generator Loss: 0.7933
Epoch 1/1... Discriminator Loss: 1.3646... Generator Loss: 0.7784
Epoch 1/1... Discriminator Loss: 1.4286... Generator Loss: 0.7226
Epoch 1/1... Discriminator Loss: 1.3893... Generator Loss: 0.7422
Epoch 1/1... Discriminator Loss: 1.3889... Generator Loss: 0.8874
Epoch 1/1... Discriminator Loss: 1.3984... Generator Loss: 0.7822
Epoch 1/1... Discriminator Loss: 1.3802... Generator Loss: 0.8940
Epoch 1/1... Discriminator Loss: 1.3920... Generator Loss: 0.7611
Epoch 1/1... Discriminator Loss: 1.4318... Generator Loss: 0.6490
Epoch 1/1... Discriminator Loss: 1.4211... Generator Loss: 0.8780
Epoch 1/1... Discriminator Loss: 1.3590... Generator Loss: 0.8272
Epoch 1/1... Discriminator Loss: 1.4312... Generator Loss: 0.7472
Epoch 1/1... Discriminator Loss: 1.4673... Generator Loss: 0.7575
Epoch 1/1... Discriminator Loss: 1.4027... Generator Loss: 0.7314
Epoch 1/1... Discriminator Loss: 1.3993... Generator Loss: 0.7150
Epoch 1/1... Discriminator Loss: 1.3729... Generator Loss: 0.7214
Epoch 1/1... Discriminator Loss: 1.4633... Generator Loss: 0.7401
Epoch 1/1... Discriminator Loss: 1.4579... Generator Loss: 0.6054
Epoch 1/1... Discriminator Loss: 1.3722... Generator Loss: 0.8011
Epoch 1/1... Discriminator Loss: 1.4804... Generator Loss: 0.7442
Epoch 1/1... Discriminator Loss: 1.4642... Generator Loss: 0.6867
Epoch 1/1... Discriminator Loss: 1.3925... Generator Loss: 0.6973
Epoch 1/1... Discriminator Loss: 1.3853... Generator Loss: 0.8385
Epoch 1/1... Discriminator Loss: 1.4208... Generator Loss: 0.7296
Epoch 1/1... Discriminator Loss: 1.4173... Generator Loss: 0.8921
Epoch 1/1... Discriminator Loss: 1.4191... Generator Loss: 0.7513
Epoch 1/1... Discriminator Loss: 1.3996... Generator Loss: 0.7413
Epoch 1/1... Discriminator Loss: 1.4205... Generator Loss: 0.6428
Epoch 1/1... Discriminator Loss: 1.3772... Generator Loss: 0.7446
Epoch 1/1... Discriminator Loss: 1.4478... Generator Loss: 0.7079
Epoch 1/1... Discriminator Loss: 1.3971... Generator Loss: 0.7226
Epoch 1/1... Discriminator Loss: 1.4516... Generator Loss: 0.7444
Epoch 1/1... Discriminator Loss: 1.4072... Generator Loss: 0.8428
Epoch 1/1... Discriminator Loss: 1.4039... Generator Loss: 0.8689
Epoch 1/1... Discriminator Loss: 1.3957... Generator Loss: 0.7139
Epoch 1/1... Discriminator Loss: 1.3845... Generator Loss: 0.6833
Epoch 1/1... Discriminator Loss: 1.3841... Generator Loss: 0.8013
Epoch 1/1... Discriminator Loss: 1.4521... Generator Loss: 0.7681
Epoch 1/1... Discriminator Loss: 1.4012... Generator Loss: 0.7488
Epoch 1/1... Discriminator Loss: 1.3896... Generator Loss: 0.8053
Epoch 1/1... Discriminator Loss: 1.4523... Generator Loss: 0.8203
Epoch 1/1... Discriminator Loss: 1.4267... Generator Loss: 0.7815
Epoch 1/1... Discriminator Loss: 1.4651... Generator Loss: 0.6796
Epoch 1/1... Discriminator Loss: 1.4004... Generator Loss: 0.6614
Epoch 1/1... Discriminator Loss: 1.4361... Generator Loss: 0.9063
Epoch 1/1... Discriminator Loss: 1.4418... Generator Loss: 0.6930
Epoch 1/1... Discriminator Loss: 1.3650... Generator Loss: 0.7354
Epoch 1/1... Discriminator Loss: 1.3872... Generator Loss: 0.8552
Epoch 1/1... Discriminator Loss: 1.4405... Generator Loss: 0.8779
Epoch 1/1... Discriminator Loss: 1.3975... Generator Loss: 0.7551
Epoch 1/1... Discriminator Loss: 1.3795... Generator Loss: 0.8407
Epoch 1/1... Discriminator Loss: 1.3904... Generator Loss: 0.7768
Epoch 1/1... Discriminator Loss: 1.4204... Generator Loss: 0.7715
Epoch 1/1... Discriminator Loss: 1.4095... Generator Loss: 0.9322
Epoch 1/1... Discriminator Loss: 1.4134... Generator Loss: 0.8615
Epoch 1/1... Discriminator Loss: 1.3988... Generator Loss: 0.6972
Epoch 1/1... Discriminator Loss: 1.4552... Generator Loss: 0.8212
Epoch 1/1... Discriminator Loss: 1.3985... Generator Loss: 0.7347
Epoch 1/1... Discriminator Loss: 1.4207... Generator Loss: 0.7459
Epoch 1/1... Discriminator Loss: 1.4396... Generator Loss: 0.6713
Epoch 1/1... Discriminator Loss: 1.3964... Generator Loss: 0.7273
Epoch 1/1... Discriminator Loss: 1.4489... Generator Loss: 0.8860
Epoch 1/1... Discriminator Loss: 1.4162... Generator Loss: 0.7699
Epoch 1/1... Discriminator Loss: 1.4295... Generator Loss: 0.7256
Epoch 1/1... Discriminator Loss: 1.3903... Generator Loss: 0.8383
Epoch 1/1... Discriminator Loss: 1.3972... Generator Loss: 0.7015
Epoch 1/1... Discriminator Loss: 1.4133... Generator Loss: 0.7209
Epoch 1/1... Discriminator Loss: 1.4020... Generator Loss: 0.7973
Epoch 1/1... Discriminator Loss: 1.4630... Generator Loss: 0.6776
Epoch 1/1... Discriminator Loss: 1.4138... Generator Loss: 0.7493
Epoch 1/1... Discriminator Loss: 1.4294... Generator Loss: 0.6859
Epoch 1/1... Discriminator Loss: 1.4566... Generator Loss: 0.7054
Epoch 1/1... Discriminator Loss: 1.4564... Generator Loss: 0.7228
Epoch 1/1... Discriminator Loss: 1.3842... Generator Loss: 0.8773
Epoch 1/1... Discriminator Loss: 1.4161... Generator Loss: 0.7915
Epoch 1/1... Discriminator Loss: 1.3574... Generator Loss: 0.7746
Epoch 1/1... Discriminator Loss: 1.4817... Generator Loss: 0.7436
Epoch 1/1... Discriminator Loss: 1.3756... Generator Loss: 0.7347
Epoch 1/1... Discriminator Loss: 1.4748... Generator Loss: 0.8031
Epoch 1/1... Discriminator Loss: 1.4176... Generator Loss: 0.7631
Epoch 1/1... Discriminator Loss: 1.3928... Generator Loss: 0.7804
Epoch 1/1... Discriminator Loss: 1.3892... Generator Loss: 0.7245
Epoch 1/1... Discriminator Loss: 1.4207... Generator Loss: 0.7763
Epoch 1/1... Discriminator Loss: 1.4426... Generator Loss: 0.7497
Epoch 1/1... Discriminator Loss: 1.4095... Generator Loss: 0.7872
Epoch 1/1... Discriminator Loss: 1.3763... Generator Loss: 0.7068
Epoch 1/1... Discriminator Loss: 1.4088... Generator Loss: 0.7523
Epoch 1/1... Discriminator Loss: 1.4224... Generator Loss: 0.9255
Epoch 1/1... Discriminator Loss: 1.4181... Generator Loss: 0.8406
Epoch 1/1... Discriminator Loss: 1.3723... Generator Loss: 0.7669
Epoch 1/1... Discriminator Loss: 1.4121... Generator Loss: 0.7864
Epoch 1/1... Discriminator Loss: 1.4790... Generator Loss: 0.7522
Epoch 1/1... Discriminator Loss: 1.4639... Generator Loss: 0.7143
Epoch 1/1... Discriminator Loss: 1.3751... Generator Loss: 0.7560
Epoch 1/1... Discriminator Loss: 1.4517... Generator Loss: 0.6993
Epoch 1/1... Discriminator Loss: 1.3690... Generator Loss: 0.8020
Epoch 1/1... Discriminator Loss: 1.3760... Generator Loss: 0.7274
Epoch 1/1... Discriminator Loss: 1.4217... Generator Loss: 0.7701
Epoch 1/1... Discriminator Loss: 1.4108... Generator Loss: 0.7797
Epoch 1/1... Discriminator Loss: 1.3827... Generator Loss: 0.7280
Epoch 1/1... Discriminator Loss: 1.4512... Generator Loss: 0.7362
Epoch 1/1... Discriminator Loss: 1.4069... Generator Loss: 0.8394
Epoch 1/1... Discriminator Loss: 1.4060... Generator Loss: 0.8159
Epoch 1/1... Discriminator Loss: 1.4285... Generator Loss: 0.7791
Epoch 1/1... Discriminator Loss: 1.3963... Generator Loss: 0.8134
Epoch 1/1... Discriminator Loss: 1.4028... Generator Loss: 0.6606
Epoch 1/1... Discriminator Loss: 1.3878... Generator Loss: 0.8251
Epoch 1/1... Discriminator Loss: 1.4144... Generator Loss: 0.7690
Epoch 1/1... Discriminator Loss: 1.3942... Generator Loss: 0.6844
Epoch 1/1... Discriminator Loss: 1.3907... Generator Loss: 0.8272
Epoch 1/1... Discriminator Loss: 1.4485... Generator Loss: 0.8081
Epoch 1/1... Discriminator Loss: 1.4007... Generator Loss: 0.7158
Epoch 1/1... Discriminator Loss: 1.3884... Generator Loss: 0.8148
Epoch 1/1... Discriminator Loss: 1.3760... Generator Loss: 0.6680
Epoch 1/1... Discriminator Loss: 1.3918... Generator Loss: 0.7030
Epoch 1/1... Discriminator Loss: 1.4084... Generator Loss: 0.7276
Epoch 1/1... Discriminator Loss: 1.4112... Generator Loss: 0.7259
Epoch 1/1... Discriminator Loss: 1.3727... Generator Loss: 0.8785
Epoch 1/1... Discriminator Loss: 1.4106... Generator Loss: 0.8323
Epoch 1/1... Discriminator Loss: 1.4090... Generator Loss: 0.9322
Epoch 1/1... Discriminator Loss: 1.4669... Generator Loss: 0.9538
Epoch 1/1... Discriminator Loss: 1.4629... Generator Loss: 0.8159
Epoch 1/1... Discriminator Loss: 1.4431... Generator Loss: 0.7767
Epoch 1/1... Discriminator Loss: 1.4239... Generator Loss: 0.9095
Epoch 1/1... Discriminator Loss: 1.4525... Generator Loss: 0.7344
Epoch 1/1... Discriminator Loss: 1.4083... Generator Loss: 0.7105
Epoch 1/1... Discriminator Loss: 1.4106... Generator Loss: 0.7117
Epoch 1/1... Discriminator Loss: 1.3890... Generator Loss: 0.8238
Epoch 1/1... Discriminator Loss: 1.4255... Generator Loss: 0.7096
Epoch 1/1... Discriminator Loss: 1.4330... Generator Loss: 0.8408
Epoch 1/1... Discriminator Loss: 1.4318... Generator Loss: 0.6913
Epoch 1/1... Discriminator Loss: 1.4286... Generator Loss: 0.6513
Epoch 1/1... Discriminator Loss: 1.4242... Generator Loss: 0.8695
Epoch 1/1... Discriminator Loss: 1.4013... Generator Loss: 0.7819
Epoch 1/1... Discriminator Loss: 1.3861... Generator Loss: 0.8157
Epoch 1/1... Discriminator Loss: 1.4054... Generator Loss: 0.7588
Epoch 1/1... Discriminator Loss: 1.4031... Generator Loss: 0.7136
Epoch 1/1... Discriminator Loss: 1.3879... Generator Loss: 0.7243
Epoch 1/1... Discriminator Loss: 1.4199... Generator Loss: 0.7873
Epoch 1/1... Discriminator Loss: 1.3422... Generator Loss: 0.8114
Epoch 1/1... Discriminator Loss: 1.4476... Generator Loss: 0.8585
Epoch 1/1... Discriminator Loss: 1.4400... Generator Loss: 0.7948
Epoch 1/1... Discriminator Loss: 1.4002... Generator Loss: 0.8229
Epoch 1/1... Discriminator Loss: 1.4584... Generator Loss: 0.7800
Epoch 1/1... Discriminator Loss: 1.3893... Generator Loss: 0.7250
Epoch 1/1... Discriminator Loss: 1.4026... Generator Loss: 0.7808
Epoch 1/1... Discriminator Loss: 1.4192... Generator Loss: 0.8105
Epoch 1/1... Discriminator Loss: 1.4061... Generator Loss: 0.8055
Epoch 1/1... Discriminator Loss: 1.4385... Generator Loss: 0.8763
Epoch 1/1... Discriminator Loss: 1.3965... Generator Loss: 0.7627
Epoch 1/1... Discriminator Loss: 1.4288... Generator Loss: 0.7637
Epoch 1/1... Discriminator Loss: 1.5155... Generator Loss: 0.6698
Epoch 1/1... Discriminator Loss: 1.4205... Generator Loss: 0.8303
Epoch 1/1... Discriminator Loss: 1.4170... Generator Loss: 0.8394
Epoch 1/1... Discriminator Loss: 1.4739... Generator Loss: 0.7925
Epoch 1/1... Discriminator Loss: 1.4159... Generator Loss: 0.7352
Epoch 1/1... Discriminator Loss: 1.4010... Generator Loss: 0.6981
Epoch 1/1... Discriminator Loss: 1.5230... Generator Loss: 0.6612
Epoch 1/1... Discriminator Loss: 1.3983... Generator Loss: 0.8603
Epoch 1/1... Discriminator Loss: 1.3970... Generator Loss: 0.6881
Epoch 1/1... Discriminator Loss: 1.4203... Generator Loss: 0.8967
Epoch 1/1... Discriminator Loss: 1.4024... Generator Loss: 0.7553
Epoch 1/1... Discriminator Loss: 1.4196... Generator Loss: 0.6455
Epoch 1/1... Discriminator Loss: 1.4255... Generator Loss: 0.6665
Epoch 1/1... Discriminator Loss: 1.3970... Generator Loss: 0.8080
Epoch 1/1... Discriminator Loss: 1.4086... Generator Loss: 0.8600
Epoch 1/1... Discriminator Loss: 1.4014... Generator Loss: 0.7227
Epoch 1/1... Discriminator Loss: 1.4122... Generator Loss: 0.7586
Epoch 1/1... Discriminator Loss: 1.4072... Generator Loss: 0.8397
Epoch 1/1... Discriminator Loss: 1.4464... Generator Loss: 0.6915
Epoch 1/1... Discriminator Loss: 1.4516... Generator Loss: 0.8680
Epoch 1/1... Discriminator Loss: 1.4265... Generator Loss: 0.7246
Epoch 1/1... Discriminator Loss: 1.3833... Generator Loss: 0.7196
Epoch 1/1... Discriminator Loss: 1.3964... Generator Loss: 0.8507
Epoch 1/1... Discriminator Loss: 1.3999... Generator Loss: 0.9487
Epoch 1/1... Discriminator Loss: 1.3742... Generator Loss: 0.8243
Epoch 1/1... Discriminator Loss: 1.3977... Generator Loss: 0.7831
Epoch 1/1... Discriminator Loss: 1.4127... Generator Loss: 0.7406
Epoch 1/1... Discriminator Loss: 1.3955... Generator Loss: 0.7584
Epoch 1/1... Discriminator Loss: 1.3724... Generator Loss: 0.8776
Epoch 1/1... Discriminator Loss: 1.3958... Generator Loss: 0.7660
Epoch 1/1... Discriminator Loss: 1.3738... Generator Loss: 0.6570
Epoch 1/1... Discriminator Loss: 1.4009... Generator Loss: 0.7246
Epoch 1/1... Discriminator Loss: 1.4097... Generator Loss: 0.7760
Epoch 1/1... Discriminator Loss: 1.4331... Generator Loss: 0.8275
Epoch 1/1... Discriminator Loss: 1.4424... Generator Loss: 0.7740
Epoch 1/1... Discriminator Loss: 1.4007... Generator Loss: 0.7275
Epoch 1/1... Discriminator Loss: 1.4097... Generator Loss: 0.7664
Epoch 1/1... Discriminator Loss: 1.3614... Generator Loss: 0.8165
Epoch 1/1... Discriminator Loss: 1.4638... Generator Loss: 0.8848
Epoch 1/1... Discriminator Loss: 1.4140... Generator Loss: 0.8279
Epoch 1/1... Discriminator Loss: 1.4331... Generator Loss: 0.8638
Epoch 1/1... Discriminator Loss: 1.4339... Generator Loss: 0.7853
Epoch 1/1... Discriminator Loss: 1.4181... Generator Loss: 0.6716
Epoch 1/1... Discriminator Loss: 1.4035... Generator Loss: 0.8044
Epoch 1/1... Discriminator Loss: 1.4213... Generator Loss: 0.7416
Epoch 1/1... Discriminator Loss: 1.4300... Generator Loss: 0.7735
Epoch 1/1... Discriminator Loss: 1.4262... Generator Loss: 0.6822
Epoch 1/1... Discriminator Loss: 1.4135... Generator Loss: 0.7253
Epoch 1/1... Discriminator Loss: 1.3762... Generator Loss: 0.7572
Epoch 1/1... Discriminator Loss: 1.4146... Generator Loss: 0.7022
Epoch 1/1... Discriminator Loss: 1.4475... Generator Loss: 0.7930
Epoch 1/1... Discriminator Loss: 1.4255... Generator Loss: 0.6722
Epoch 1/1... Discriminator Loss: 1.3795... Generator Loss: 0.7321
Epoch 1/1... Discriminator Loss: 1.3911... Generator Loss: 0.8625
Epoch 1/1... Discriminator Loss: 1.4085... Generator Loss: 0.7490
Epoch 1/1... Discriminator Loss: 1.4383... Generator Loss: 0.8658
Epoch 1/1... Discriminator Loss: 1.3915... Generator Loss: 0.6921
Epoch 1/1... Discriminator Loss: 1.4473... Generator Loss: 0.7936
Epoch 1/1... Discriminator Loss: 1.4302... Generator Loss: 0.6762
Epoch 1/1... Discriminator Loss: 1.3912... Generator Loss: 0.7068
Epoch 1/1... Discriminator Loss: 1.4150... Generator Loss: 0.8903
Epoch 1/1... Discriminator Loss: 1.4173... Generator Loss: 0.8950
Epoch 1/1... Discriminator Loss: 1.3661... Generator Loss: 0.8431
Epoch 1/1... Discriminator Loss: 1.4273... Generator Loss: 0.7577
Epoch 1/1... Discriminator Loss: 1.4094... Generator Loss: 0.7449
Epoch 1/1... Discriminator Loss: 1.3623... Generator Loss: 0.8665
Epoch 1/1... Discriminator Loss: 1.4064... Generator Loss: 0.6809
Epoch 1/1... Discriminator Loss: 1.4030... Generator Loss: 0.7237
Epoch 1/1... Discriminator Loss: 1.3681... Generator Loss: 0.7530
Epoch 1/1... Discriminator Loss: 1.3896... Generator Loss: 0.7124
Epoch 1/1... Discriminator Loss: 1.3802... Generator Loss: 0.6868
Epoch 1/1... Discriminator Loss: 1.4132... Generator Loss: 0.7980
Epoch 1/1... Discriminator Loss: 1.4029... Generator Loss: 0.7789
Epoch 1/1... Discriminator Loss: 1.4016... Generator Loss: 0.7535
Epoch 1/1... Discriminator Loss: 1.3803... Generator Loss: 0.7530
Epoch 1/1... Discriminator Loss: 1.4060... Generator Loss: 0.7099
Epoch 1/1... Discriminator Loss: 1.4112... Generator Loss: 0.6803
Epoch 1/1... Discriminator Loss: 1.3713... Generator Loss: 0.8156
Epoch 1/1... Discriminator Loss: 1.4526... Generator Loss: 0.7055
Epoch 1/1... Discriminator Loss: 1.3917... Generator Loss: 0.7278
Epoch 1/1... Discriminator Loss: 1.3856... Generator Loss: 0.7183
Epoch 1/1... Discriminator Loss: 1.4212... Generator Loss: 0.7217
Epoch 1/1... Discriminator Loss: 1.4255... Generator Loss: 0.7251
Epoch 1/1... Discriminator Loss: 1.4068... Generator Loss: 0.7478
Epoch 1/1... Discriminator Loss: 1.3915... Generator Loss: 0.7486
Epoch 1/1... Discriminator Loss: 1.4458... Generator Loss: 0.8824
Epoch 1/1... Discriminator Loss: 1.4576... Generator Loss: 0.7883
Epoch 1/1... Discriminator Loss: 1.3914... Generator Loss: 0.7203
Epoch 1/1... Discriminator Loss: 1.4159... Generator Loss: 0.7013
Epoch 1/1... Discriminator Loss: 1.4038... Generator Loss: 0.7307
Epoch 1/1... Discriminator Loss: 1.3962... Generator Loss: 0.7538
Epoch 1/1... Discriminator Loss: 1.3719... Generator Loss: 0.8154
Epoch 1/1... Discriminator Loss: 1.4113... Generator Loss: 0.8070
Epoch 1/1... Discriminator Loss: 1.4355... Generator Loss: 0.7378
Epoch 1/1... Discriminator Loss: 1.4018... Generator Loss: 0.7568
Epoch 1/1... Discriminator Loss: 1.4342... Generator Loss: 0.7078
Epoch 1/1... Discriminator Loss: 1.4489... Generator Loss: 0.7276
Epoch 1/1... Discriminator Loss: 1.3511... Generator Loss: 0.8263
Epoch 1/1... Discriminator Loss: 1.4746... Generator Loss: 0.7228
Epoch 1/1... Discriminator Loss: 1.4350... Generator Loss: 0.9002
Epoch 1/1... Discriminator Loss: 1.4117... Generator Loss: 0.7362
Epoch 1/1... Discriminator Loss: 1.4337... Generator Loss: 0.7823
Epoch 1/1... Discriminator Loss: 1.4197... Generator Loss: 0.6394
Epoch 1/1... Discriminator Loss: 1.3817... Generator Loss: 0.7837
Epoch 1/1... Discriminator Loss: 1.4105... Generator Loss: 0.6916
Epoch 1/1... Discriminator Loss: 1.4335... Generator Loss: 0.7817
Epoch 1/1... Discriminator Loss: 1.3911... Generator Loss: 0.8409
Epoch 1/1... Discriminator Loss: 1.3852... Generator Loss: 0.8097
Epoch 1/1... Discriminator Loss: 1.3700... Generator Loss: 0.7577
Epoch 1/1... Discriminator Loss: 1.4082... Generator Loss: 0.7243
Epoch 1/1... Discriminator Loss: 1.4297... Generator Loss: 0.7168
Epoch 1/1... Discriminator Loss: 1.3877... Generator Loss: 0.7921
Epoch 1/1... Discriminator Loss: 1.4023... Generator Loss: 0.7118
Epoch 1/1... Discriminator Loss: 1.3841... Generator Loss: 0.7703
Epoch 1/1... Discriminator Loss: 1.3880... Generator Loss: 0.7676
Epoch 1/1... Discriminator Loss: 1.3889... Generator Loss: 0.8163
Epoch 1/1... Discriminator Loss: 1.3970... Generator Loss: 0.8392
Epoch 1/1... Discriminator Loss: 1.3875... Generator Loss: 0.7828
Epoch 1/1... Discriminator Loss: 1.4313... Generator Loss: 0.7503
Epoch 1/1... Discriminator Loss: 1.3963... Generator Loss: 0.7106
Epoch 1/1... Discriminator Loss: 1.4113... Generator Loss: 0.7924
Epoch 1/1... Discriminator Loss: 1.4194... Generator Loss: 0.8688
Epoch 1/1... Discriminator Loss: 1.4125... Generator Loss: 0.7593
Epoch 1/1... Discriminator Loss: 1.4008... Generator Loss: 0.6949
Epoch 1/1... Discriminator Loss: 1.3973... Generator Loss: 0.7535
Epoch 1/1... Discriminator Loss: 1.3611... Generator Loss: 0.8484
Epoch 1/1... Discriminator Loss: 1.4253... Generator Loss: 0.7027
Epoch 1/1... Discriminator Loss: 1.4673... Generator Loss: 0.5769
Epoch 1/1... Discriminator Loss: 1.4351... Generator Loss: 0.6539
Epoch 1/1... Discriminator Loss: 1.4466... Generator Loss: 0.9413
Epoch 1/1... Discriminator Loss: 1.3902... Generator Loss: 0.7093
Epoch 1/1... Discriminator Loss: 1.3926... Generator Loss: 0.7423
Epoch 1/1... Discriminator Loss: 1.4586... Generator Loss: 0.7253
Epoch 1/1... Discriminator Loss: 1.4349... Generator Loss: 0.7622
Epoch 1/1... Discriminator Loss: 1.4487... Generator Loss: 0.7537
Epoch 1/1... Discriminator Loss: 1.4620... Generator Loss: 0.6995
Epoch 1/1... Discriminator Loss: 1.3933... Generator Loss: 0.7653
Epoch 1/1... Discriminator Loss: 1.4413... Generator Loss: 0.6900
Epoch 1/1... Discriminator Loss: 1.4122... Generator Loss: 0.6942
Epoch 1/1... Discriminator Loss: 1.4320... Generator Loss: 0.7251
Epoch 1/1... Discriminator Loss: 1.4418... Generator Loss: 0.5646
Epoch 1/1... Discriminator Loss: 1.4680... Generator Loss: 0.8186
Epoch 1/1... Discriminator Loss: 1.3930... Generator Loss: 0.7768
Epoch 1/1... Discriminator Loss: 1.4140... Generator Loss: 0.9072
Epoch 1/1... Discriminator Loss: 1.4218... Generator Loss: 0.8708
Epoch 1/1... Discriminator Loss: 1.3896... Generator Loss: 0.7407
Epoch 1/1... Discriminator Loss: 1.3702... Generator Loss: 0.7564
Epoch 1/1... Discriminator Loss: 1.4096... Generator Loss: 0.7251
Epoch 1/1... Discriminator Loss: 1.4396... Generator Loss: 0.8639
Epoch 1/1... Discriminator Loss: 1.4421... Generator Loss: 0.7363
Epoch 1/1... Discriminator Loss: 1.3956... Generator Loss: 0.8576
Epoch 1/1... Discriminator Loss: 1.4484... Generator Loss: 0.9209
Epoch 1/1... Discriminator Loss: 1.4028... Generator Loss: 0.7639
Epoch 1/1... Discriminator Loss: 1.3874... Generator Loss: 0.8380
Epoch 1/1... Discriminator Loss: 1.3813... Generator Loss: 0.7295
Epoch 1/1... Discriminator Loss: 1.4227... Generator Loss: 0.9120
Epoch 1/1... Discriminator Loss: 1.4125... Generator Loss: 0.8802
Epoch 1/1... Discriminator Loss: 1.3863... Generator Loss: 0.7253
Epoch 1/1... Discriminator Loss: 1.3758... Generator Loss: 0.7353
Epoch 1/1... Discriminator Loss: 1.4636... Generator Loss: 0.7380
Epoch 1/1... Discriminator Loss: 1.4099... Generator Loss: 0.6798
Epoch 1/1... Discriminator Loss: 1.4185... Generator Loss: 0.7997
Epoch 1/1... Discriminator Loss: 1.4260... Generator Loss: 0.7214
Epoch 1/1... Discriminator Loss: 1.3836... Generator Loss: 0.8330
Epoch 1/1... Discriminator Loss: 1.4971... Generator Loss: 0.7917
Epoch 1/1... Discriminator Loss: 1.3682... Generator Loss: 0.7542
Epoch 1/1... Discriminator Loss: 1.3925... Generator Loss: 0.7469
Epoch 1/1... Discriminator Loss: 1.4152... Generator Loss: 0.6942
Epoch 1/1... Discriminator Loss: 1.4157... Generator Loss: 0.6551
Epoch 1/1... Discriminator Loss: 1.4519... Generator Loss: 0.9914
Epoch 1/1... Discriminator Loss: 1.4019... Generator Loss: 0.8923
Epoch 1/1... Discriminator Loss: 1.3955... Generator Loss: 0.9058
Epoch 1/1... Discriminator Loss: 1.4072... Generator Loss: 0.7346
Epoch 1/1... Discriminator Loss: 1.3802... Generator Loss: 0.7571
Epoch 1/1... Discriminator Loss: 1.4523... Generator Loss: 0.8351
Epoch 1/1... Discriminator Loss: 1.4420... Generator Loss: 0.7594
Epoch 1/1... Discriminator Loss: 1.4043... Generator Loss: 0.7124
Epoch 1/1... Discriminator Loss: 1.4168... Generator Loss: 0.8760
Epoch 1/1... Discriminator Loss: 1.3950... Generator Loss: 0.7705
Epoch 1/1... Discriminator Loss: 1.3842... Generator Loss: 0.8196
Epoch 1/1... Discriminator Loss: 1.4070... Generator Loss: 0.7886
Epoch 1/1... Discriminator Loss: 1.4012... Generator Loss: 0.6904
Epoch 1/1... Discriminator Loss: 1.4256... Generator Loss: 0.8215
Epoch 1/1... Discriminator Loss: 1.3980... Generator Loss: 0.7308
Epoch 1/1... Discriminator Loss: 1.4066... Generator Loss: 0.8525
Epoch 1/1... Discriminator Loss: 1.3972... Generator Loss: 0.7497
Epoch 1/1... Discriminator Loss: 1.4042... Generator Loss: 0.7442
Epoch 1/1... Discriminator Loss: 1.3488... Generator Loss: 0.8192
Epoch 1/1... Discriminator Loss: 1.4110... Generator Loss: 0.8443
Epoch 1/1... Discriminator Loss: 1.3914... Generator Loss: 0.7220
Epoch 1/1... Discriminator Loss: 1.4185... Generator Loss: 0.7929
Epoch 1/1... Discriminator Loss: 1.4089... Generator Loss: 0.7203
Epoch 1/1... Discriminator Loss: 1.3809... Generator Loss: 0.7266
Epoch 1/1... Discriminator Loss: 1.3951... Generator Loss: 0.7826
Epoch 1/1... Discriminator Loss: 1.3878... Generator Loss: 0.8008
Epoch 1/1... Discriminator Loss: 1.3746... Generator Loss: 0.8383
Epoch 1/1... Discriminator Loss: 1.3754... Generator Loss: 0.8690
Epoch 1/1... Discriminator Loss: 1.3990... Generator Loss: 0.7640
Epoch 1/1... Discriminator Loss: 1.4088... Generator Loss: 0.8154
Epoch 1/1... Discriminator Loss: 1.4210... Generator Loss: 0.9061
Epoch 1/1... Discriminator Loss: 1.4131... Generator Loss: 0.7181
Epoch 1/1... Discriminator Loss: 1.3713... Generator Loss: 0.7931
Epoch 1/1... Discriminator Loss: 1.4231... Generator Loss: 0.8215
Epoch 1/1... Discriminator Loss: 1.3933... Generator Loss: 0.7676
Epoch 1/1... Discriminator Loss: 1.3836... Generator Loss: 0.7944
Epoch 1/1... Discriminator Loss: 1.4023... Generator Loss: 0.7851
Epoch 1/1... Discriminator Loss: 1.3944... Generator Loss: 0.7206
Epoch 1/1... Discriminator Loss: 1.3713... Generator Loss: 0.8058
Epoch 1/1... Discriminator Loss: 1.4009... Generator Loss: 0.7753
Epoch 1/1... Discriminator Loss: 1.3902... Generator Loss: 0.7375
Epoch 1/1... Discriminator Loss: 1.4338... Generator Loss: 0.6895
Epoch 1/1... Discriminator Loss: 1.4786... Generator Loss: 0.6650
Epoch 1/1... Discriminator Loss: 1.3935... Generator Loss: 0.7477
Epoch 1/1... Discriminator Loss: 1.3863... Generator Loss: 0.8048
Epoch 1/1... Discriminator Loss: 1.4436... Generator Loss: 0.7443
Epoch 1/1... Discriminator Loss: 1.4310... Generator Loss: 0.8146
Epoch 1/1... Discriminator Loss: 1.4012... Generator Loss: 0.7656
Epoch 1/1... Discriminator Loss: 1.3788... Generator Loss: 0.8265
Epoch 1/1... Discriminator Loss: 1.4125... Generator Loss: 0.8278
Epoch 1/1... Discriminator Loss: 1.4337... Generator Loss: 0.8485
Epoch 1/1... Discriminator Loss: 1.3811... Generator Loss: 0.8228
Epoch 1/1... Discriminator Loss: 1.3899... Generator Loss: 0.7673
Epoch 1/1... Discriminator Loss: 1.4015... Generator Loss: 0.6563
Epoch 1/1... Discriminator Loss: 1.4202... Generator Loss: 0.7281
Epoch 1/1... Discriminator Loss: 1.3993... Generator Loss: 0.9145
Epoch 1/1... Discriminator Loss: 1.4213... Generator Loss: 0.7009
Epoch 1/1... Discriminator Loss: 1.3832... Generator Loss: 0.8448
Epoch 1/1... Discriminator Loss: 1.4002... Generator Loss: 0.7916
Epoch 1/1... Discriminator Loss: 1.4346... Generator Loss: 0.8341
Epoch 1/1... Discriminator Loss: 1.4206... Generator Loss: 0.7369
Epoch 1/1... Discriminator Loss: 1.3914... Generator Loss: 0.8723
Epoch 1/1... Discriminator Loss: 1.4273... Generator Loss: 0.7934
Epoch 1/1... Discriminator Loss: 1.3673... Generator Loss: 0.7170
Epoch 1/1... Discriminator Loss: 1.3943... Generator Loss: 0.7777
Epoch 1/1... Discriminator Loss: 1.3848... Generator Loss: 0.7250
Epoch 1/1... Discriminator Loss: 1.3814... Generator Loss: 0.7775
Epoch 1/1... Discriminator Loss: 1.4220... Generator Loss: 0.7419
Epoch 1/1... Discriminator Loss: 1.4408... Generator Loss: 0.6576
Epoch 1/1... Discriminator Loss: 1.4048... Generator Loss: 0.7223
Epoch 1/1... Discriminator Loss: 1.4536... Generator Loss: 0.7452
Epoch 1/1... Discriminator Loss: 1.4182... Generator Loss: 0.9342
Epoch 1/1... Discriminator Loss: 1.4001... Generator Loss: 0.7801
Epoch 1/1... Discriminator Loss: 1.4004... Generator Loss: 0.6885
Epoch 1/1... Discriminator Loss: 1.3870... Generator Loss: 0.7935
Epoch 1/1... Discriminator Loss: 1.3955... Generator Loss: 0.7287
Epoch 1/1... Discriminator Loss: 1.4156... Generator Loss: 0.7265
Epoch 1/1... Discriminator Loss: 1.3879... Generator Loss: 0.8192
Epoch 1/1... Discriminator Loss: 1.3982... Generator Loss: 0.8375
Epoch 1/1... Discriminator Loss: 1.4353... Generator Loss: 0.7722
Epoch 1/1... Discriminator Loss: 1.4245... Generator Loss: 0.6778
Epoch 1/1... Discriminator Loss: 1.4183... Generator Loss: 0.8031
Epoch 1/1... Discriminator Loss: 1.4129... Generator Loss: 1.0142
Epoch 1/1... Discriminator Loss: 1.4368... Generator Loss: 0.8033
Epoch 1/1... Discriminator Loss: 1.3547... Generator Loss: 0.7511
Epoch 1/1... Discriminator Loss: 1.4519... Generator Loss: 0.7324
Epoch 1/1... Discriminator Loss: 1.4284... Generator Loss: 0.7450
Epoch 1/1... Discriminator Loss: 1.3902... Generator Loss: 0.7011
Epoch 1/1... Discriminator Loss: 1.4200... Generator Loss: 0.7879
Epoch 1/1... Discriminator Loss: 1.3872... Generator Loss: 0.8431
Epoch 1/1... Discriminator Loss: 1.3874... Generator Loss: 0.6726
Epoch 1/1... Discriminator Loss: 1.3872... Generator Loss: 0.7220
Epoch 1/1... Discriminator Loss: 1.4264... Generator Loss: 0.6465
Epoch 1/1... Discriminator Loss: 1.4227... Generator Loss: 0.8824
Epoch 1/1... Discriminator Loss: 1.4189... Generator Loss: 0.8620
Epoch 1/1... Discriminator Loss: 1.3868... Generator Loss: 0.9037
Epoch 1/1... Discriminator Loss: 1.4097... Generator Loss: 0.7555
---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-22-0667982816f7> in <module>()
     13 with tf.Graph().as_default():
     14     train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
---> 15           celeba_dataset.shape, celeba_dataset.image_mode)

/home/carnd/anaconda3/envs/dl/lib/python3.5/contextlib.py in __exit__(self, type, value, traceback)
     64         if type is None:
     65             try:
---> 66                 next(self.gen)
     67             except StopIteration:
     68                 return

/home/carnd/anaconda3/envs/dl/lib/python3.5/site-packages/tensorflow/python/framework/ops.py in get_controller(self, default)
   3682     finally:
   3683       if self._enforce_nesting:
-> 3684         if self.stack[-1] is not default:
   3685           raise AssertionError(
   3686               "Nesting violated for default stack of %s objects"

IndexError: list index out of range

Submitting This Project

When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.